Edgar Quiroz

Edgar Alexander Quiroz

*** ****** ******* *****, *** York, NY 10017

***** ************ *******, ********, ** 20165

Available Only 100% Remote W2 Contract Positions

Work Authorization: US Citizen

E-mail: *****@******.***

Cell: +1-484-***-****

Summary:

As an accomplished IT professional with a distinguished career, I have consistently demonstrated a remarkable ability to Architect and Develop Cutting-Edge Software Solutions across a wide range of industries. My expertise lies in delivering top-tier Software as a Service (SaaS), Platform as a Service (PaaS) and Commercial Off-The-Shelf (COTS) solutions to corporate clients, seamlessly integrating advanced technologies to drive innovation and achieve strategic objectives. With a proven track record in API Full-Stack Enterprise Software, both in cloud and on-premises environments, I excel at translating complex technical concepts into robust, scalable solutions. My deep understanding of Cryptography, Machine Learning, AI-Driven Automation, and Secure Infrastructure Provisioning positions me as an ideal candidate for any role as an API Software Architect and/or Developer, where technical excellence and innovation are paramount.

• Programming Languages: Java, Python, C, C++, C# .NET, Golang, Scala, JavaScript, TypeScript, Node.js, Bash, PowerShell, Groovy, PHP, Julia, R

• Enterprise Technologies: Java EE (J2EE), Servlets, JSP, JSTL, JavaBeans, JDBC, EJB, Spring Framework: Spring Core, Spring MVC, Spring ORM, Spring Tx, Spring JDBC, Spring JMS, Spring WS, Spring Cloud, Kotlin with Spring Boot, Hibernate, JPA, Eureka Server

• Web Development & Frontend Frameworks: React.js, Next.js, Angular.js, Vue.js, Svelte, Flutter, Express.js, jQuery, Backbone.js, MEAN/MERN Stack, Sails.js, Astro, tRPC, TailwindCSS, Twilio integration

• Cloud Services:

• AWS: Lambda, ECS, EKS, S3, DynamoDB, API Gateway, VPC, CloudFront, CloudWatch, CloudFormation, Route 53, IAM, Secrets Manager, SSM, SageMaker, Bedrock, Rekognition, Comprehend, Lex, Transcribe, Textract, Personalize, Forecast, Kendra, A2I, Braket, QLDB, DocumentDB, ElastiCache, Glacier, CodeBuild, CodePipeline, CodeCommit, CodeArtifact, App Mesh, OpsWorks, AppConfig, Chatbot, Security Hub, Firewall Manager

• Azure: Azure Functions, AKS, Blob Storage, Web Apps, Azure DevOps, Azure API Management, Azure API Center, App Gateway, WAF, DNS, AAD, DDoS Protection, Cognitive Services, Azure ML, OpenAI Service, AI Studio, Databricks, Synapse ML

• GCP: Cloud Functions, GKE, Cloud Run, Cloud Storage, Bigtable, SQL, VPC, Cloud IAM, Vertex AI, AutoML, TFX, AI Platform, Dialogflow, PaLM, Apigee, Cloud Load Balancing

• AI/ML Frameworks & Tools:

• Core Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers, ONNX, XGBoost, LightGBM, RAPIDS (NVIDIA), FastAI, MLlib (Spark), OpenCV

• MLOps & Deployment: MLflow, Kubeflow, BentoML, Weights & Biases, Ray Serve, ModelDB, Airflow

• AI Agents & Orchestration: LangChain, AutoGPT, AgentGPT, CrewAI, GPT-Engineer, OpenInterpreter

• NLP & LLMs: GPT-4o, Claude 3, Gemini, LLaMA, Mistral, PaLM 2

• Vision & Audio AI: Whisper, Deepgram, ElevenLabs, YOLOv8, DALL·E, Stable Diffusion

• Generative AI Platforms: OpenAI, Anthropic, Hugging Face Hub, Replicate, RunwayML

• DevOps & CI/CD Tools: Docker, Kubernetes (EKS, AKS, GKE), Kops, Kustomize, Helm, Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD, Tekton, Azure Pipelines, Terraform, Pulumi, Ansible, Packer, GitOps, Apache Airflow, Puppet, Git, GitHub, GitLab, Bitbucket

• Securitym & Privacy: IAM, OAuth2, OpenID, JWT, SAML, Okta, SiteMinder, Kerberos, TLS/SSL, Zero Trust, DevSecOps, Threat Modeling, Secrets Manager, Security Hub, Firewall Manager, Veracode, SonarQube, OWASP Top 10, Quantum-Resistant Encryption (NIST PQC), Penetration Testing, Vulnerability Analysis, Cognito (AWS), Certificate Manager

• Post-Quautum & Quantum Cryptography: CRYSTALS-Kyber, CRYSTALS-Dilithium, Falcon, NTRU, SIDH (retired), QKD, QRNG, QSDC, Hybrid Cryptography, Device-Independent Security

• API Messaging & Integration: REST, GraphQL, gRPC, Swagger/OpenAPI, Postman, Java Messaging Service (JMS), Apache Kafka, RabbitMQ, Amazon SNS/SQS, Apigee, MuleSoft, Kong, WSO2, API Gateway (AWS, Azure, GCP)

• Data & Analytics: Apache Spark, Apache Kafka, Druid, Databricks, Snowflake, AWS Athena, Looker, Tableau, Power BI

• Monitoring & Observability: Prometheus, Grafana, Datadog, New Relic, Splunk, Kibana, Jaeger, OpenTelemetry, Loki

• Messaging & Event Streaming: Apache Kafka, RabbitMQ, Amazon SNS/SQS, Azure Event Hubs, Google Pub/Sub, Apache Pulsar, MQTT, WebSockets

• CRM, IDE & Developer Tools: CRM: Salesforce, HubSpot, Zoho CRM, IntelliJ IDEA, PyCharm, DataSpell, VS Code, Eclipse, JupyterLab, Google Colab Pro, Android Studio, Xcode, Testing & Tools: Postman, Swagger, JMeter, JSFiddle, Sublime Text, Brackets, Collaboration: Notion, Confluence, Miro, Figma, Slack (with AI copilots), Adobe Experience Manager, Teradata Studio, JDeveloper, OutSystems, MuleSoft

• Low/No-Code & AI App Builders: Retool, OutSystems, AppSmith, Bubble.io, Glide, Lovable.app, Adalo, Zapier AI, n8n, Voiceflow, Replit AI, Vercel AI SDK, Streamlit

Experience:

Sr. Solution Engineer, NYC Office of Technology and Innovation (OTI), New York, NY (Contract): 08/2024-08/2025 Developed and optimized high-performance backend Java Spring Boot Microservices for the MyCity NYC Common Services Platform. Engineered reusable Common Libraries, Transactional API Workflows, and Resident Business Profile Verification Components, including System Business logic integration. Ensured horizontal scalability, fault tolerance, and high availability for these RESTful APIs, supporting critical service delivery to millions of NYC residents with strict performance and reliability. Backend Development:

• Designed and implemented Java 17+, Spring Boot 3.x microservices with Spring Data JPA 3.x and Hibernate ORM 6.x, delivering low-latency, high-throughput transactional APIs.

• Hands-on coding of complex business logic in Java, optimizing for performance, scalability, and fault tolerance.

• Led the full development lifecycle — requirements gathering, technical design, development, unit testing (JUnit, Mockito), integration testing, and deployment in Azure Kubernetes Service (AKS).

• Integrated MuleSoft for API-led connectivity, orchestrating microservices and third-party services. Software Architecture & Standards:

• Developed, documented, and enforced API design patterns, microservice governance, and security protocols (OAuth 2.0, JWT, MFA).

• Mentored and led teams in applying architecture patterns such as Ports and Adapters (Hexagonal Architecture), Clean Architecture, and Domain-Driven Design (DDD).

• Built and maintained AWS Lambda serverless functions for event-driven, lightweight processing tasks. MuleSoft Anypoint Platform Administration:

• Managed MuleSoft API deployments using Anypoint Runtime Manager, including policy enforcement, API versioning, monitoring, and troubleshooting mission-critical integrations.

AI & Machine Learning Integration:

• Integrated Azure AI Document Intelligence for automated document classification, validation, and data extraction.

• Developed predictive models in Java Spring Boot microservices to enhance real-time decision-making for service eligibility, document validation, and automated service recommendations.

Real-time Data & Event Processing:

• Designed and implemented Apache Kafka pipelines for event-driven communication between microservices.

• Utilized Apache Camel for sophisticated integrations with legacy systems, third-party APIs, and multiple data sources, ensuring transactional integrity and resilience.

Security & Compliance:

• Embedded enterprise-grade security: Okta SSO, OAuth2, JWT, MFA, Mutual TLS, and RBAC.

• Applied DevSecOps best practices, security scanning, and code reviews to proactively mitigate vulnerabilities. Performance Optimization & Monitoring:

• Applied Asynchronous Programming and Reactive Patterns (CompletableFuture, @Async) to boost performance in latency-sensitive applications.

• Monitored system health and API performance using Prometheus, Grafana, and Azure Application Insights, proactively resolving bottlenecks and maintaining SLA compliance.

CTO, Quantumize, New York, NY (Startup/Part-Time): 10/2023-Present At Quantumize, I architected and led the development of a next-generation Post-Quantum Crytography (PQC) platform. The solution integrates AI- enhanced cryptographic models with NIST-Approved Post-Quantum Algorithms, leveraging Python FastAPI for high-performance backend services and incorporating TensorFlow and PyTorch for intelligent key management, anomaly detection, and adaptive threat modeling. Delivered as a secure, scalable SaaS offering, the platform provides zero-knowledge encryption workflows, key rotation, and forward secrecy, purpose-built to protect against quantum-era threats while maintaining enterprise-grade performance and compliance.

• Utilized the MERN Stack (MongoDB, Express.js, React.js, Next.js, Node.js) to develop a dynamic, user-centric interface, ensuring a responsive, cross-platform experience for users.

• Cryptographic Innovation: Developed and implementation of advanced Post-Quantum Cryptographic Algorithms, specializing in Lattice- Based, Multivariate, Code-based, and Hash-based cryptographic functions. Implemented the practical application of Post-Quantum Resistant Algorithms such as NTRU-Encrypt, FALCON, CRYSTALS-Dilithium, and CRYSTALS-Kyber, ensuring robust security in a Post-Quantum Computing landscape.

• Cloud Architecture: Implemented a sophisticated serverless ecosystem on Heroku and AWS, integrating a blend of API Gateway, S3, DynamoDB, and AWS Lambda. Utilized Terraform for seamless deployment for advanced infrastructure provisioning. For the RESTful APIs is made up owith Python for the secure and NodeJS, ensuring precision and clarity using the Swagger interface, and integrated Stripe for secure payment processing.

• AI and Machine Learning Integration: Utilized TensorFlow to build and train models for analyzing patterns in cryptographic data, such as key generation or predictive security risk analysis. For efficient deployment of cryptographic models on AWS Lambda serverless cloud environment. Used PyTorch to for research and experimentation with Post-Quantum Cryptographic algorithms. Its dynamic computation graph feature made it easier to explore custom cryptographic functions and evaluate their resistance to quantum computing threats. Sr. Solution Engineer, NYC Administration for Children's Services (ACS), New York, NY (Contract): 11/2022-05/2024 Successfully architected, developed, and deployed Java 17 and Kotlin-based full-stack applications for the New York City Administration for Children's Services. I developed these applications using Java Spring Boot API and Kotlin services for the backend, seamlessly integrated with Angular.js frontend, delivering critical services for the public. My role was pivotal in delivering a robust, scalable, and secure solution, demonstrating a sophisticated blend of Java/Kotlin-centric backend development, strategic and advanced AI/ML integration in a high-stakes government environment.

• Stakeholder Collaboration & Design Excellence: Worked closely with stakeholders to capture requirements and translate them into scalable, efficient solutions, meticulously aligning with Data Service Mesh principles. Produced detailed architecture diagrams, technical designs, and comprehensive documentation to ensure clarity and smooth implementation across all phases of development.

• Advanced API Development: Utilized deep expertise in Java Spring Boot, Kotlin, Azure Search, MongoDB, and Swagger to design and develop a suite of Java 17 and Kotlin RESTful APIs. These APIs were implemented as resilient web services and exposed through Azure API Management, Azure API Center, and Azure API Apps, optimized for high performance and security within a government framework.

• Leveraged MuleSoft to orchestrate API workflows and securely expose services to internal and external consumers.

• Used JavaScript to support front-end functionality within Angular.js and build lightweight micro-interactions and UI validations.

• Machine Learning & AI Integration: Integrated machine learning models using Java libraries like DeepLearning4J to deploy predictive analytics, enabling seamless interaction between backend services and AI-driven functionalities via RESTful APIs. Enhanced data analysis and user engagement through advanced Natural Language Processing (NLP) with OpenNLP, delivering innovative solutions within the public administration domain.

• Integrated Amazon Kinesis for capturing and processing real-time data streams related to user activity and decision engines.

• Used Amazon Redshift to store, query, and analyze large volumes of structured and semi-structured service data for dashboards and reporting.

• Data Processing & Integration: Architected robust data ingestion and processing pipelines within Azure, utilizing Apache Kafka® for real-time data streaming and Apache Camel for seamless integration across multiple data sources. These pipelines were integral to the Microservices architecture, ensuring efficient and reliable data flow across the system.

• DevOps & Cloud Deployment: Spearheaded the deployment of Java 17 and Kotlin RESTful APIs using Docker containers and Azure DevOps pipelines, ensuring thorough testing and streamlined rollout within Azure Cloud Services. Leveraged Terraform to automate the provisioning and management of cloud resources. Utilized Azure Kubernetes Service (AKS) for container orchestration and resource management, ensuring scalability and high availability.

• Automation & Security Integration: Designed and implemented Microsoft DevOps pipelines for automated API, policy, and configuration deployments, ensuring consistent and error-free migrations. Integrated Okta APIs within the Java Spring Boot and Kotlin frameworks to enable secure Single Sign-On (SSO), JWT, and Multi-factor Authentication (MFA), while rigorously configuring security settings to meet stringent compliance requirements.

• Testing & Quality Assurance: Developed comprehensive Postman collections for API testing and authored robust JUnit tests to validate core functionalities, ensuring seamless compatibility and stability during versioning updates. CTO, myIDFi, Sun Valley, ID (Startup/ Part-Time): 05/2022-05/2024 As CTO of myIDFi, I architected and led the full-stack implementation of an AI-powered, blockchain-secured mortgage technology platform engineered to modernize and decentralize the $2.1 trillion U.S. housing finance market. Our platform introduces consumers to a decentralized, lender-agnostic mortgage marketplace, enabling them to securely connect with approved lending partners through the use of blockchain consensus algorithms, smart contract automation, and autonomous AI agents that optimize underwriting, borrower qualification, and pricing analytics.

• Engineered a production-grade Microservices Architecture leveraging Node.js, containerized using Docker, orchestrated via Kubernetes, and deployed across Heroku and AWS multi-region clusters to ensure high availability, failover resilience, and horizontal scalability.

• Integrated zero-knowledge proof (ZKP)-based identity verification flows, tied to blockchain-anchored KYC frameworks for secure borrower onboarding and regulatory compliance.

• Developed intelligent AI-Agents powered by transformer-based NLP Models (fine-tuned GPT) for real-time borrower-lender matching, secure document classification, fraud detection, and AI-assisted navigation.

• Implemented Web3 interoperability, using Ethereum-compatible Smart Contracts to automate key transaction events including escrow handling, appraisal management, and title authentication—ensuring immutable audit trails and multi-party trust.

• Secured the platform through Blockchain-based encryption, AI-driven anomaly detection, and attribute-based access control (ABAC) and RBAC to comply with SOC 2, Consumer Financial Protection Bureau (CFPB), and Fannie Mae/Freddie Mac guidelines.

• Led Agile development cycles across full-stack engineering, DevSecOps, and blockchain teams, with CI/CD pipelines using GitHub Actions and Terraform-based IaC for automated infrastructure deployment.

• Used AWS API Gateway and middleware integration framework for secure, real-time connectivity to Fannie Mae Desktop Underwriter (DU) APIs, Plaid, Finicity, and all major U.S. credit bureaus. Under my technical leadership, myIDFi deployed a fully operational platform and completed a closed beta launch in the state of Idaho, engaging 20+ licensed lenders, 60+ real estate professionals, and a pipeline of live homebuyers. The system processed live mortgage applications end-to- end, achieving sub-60-second AI-based borrower prequalification with a 92% confidence rate based on real income, asset, and credit data. This achievement validated our architecture, demonstrating that AI and blockchain can deliver compliant, secure, and intelligent mortgage origination workflows at production scale. myIDFi is now positioned as a category-defining mortgage fintech platform, built for nationwide expansion and regulatory-grade resilience.

Cybersecurity Solution Engineer, Dell Inc., Austin, TX (Contract): 08/2021-12/2022 In my role as an API Cybersecurity Operations Engineer, I was tasked with designing and implementing a secure RESTful API backend architecture that facilitated firewall modification requests from trusted sources across Dell’s corporate infrastructure. This dynamic architecture significantly enhanced the company’s cybersecurity posture by enabling real-time updates to firewall configurations. My key contributions include:

• Backend Architecture Development: Designed and developed a robust backend architecture using Python 3.9 and Django 4.0, enabling the creation and management of RESTful API endpoints integrated with the Panorama™ API by Palo Alto Networks. This setup allowed seamless interaction with Palo Alto Networks devices using the "PanDevice" and "pan-os-python" libraries, automating the management of address objects, service objects, and security policies within the Panorama environment.

• Advanced Security Implementation: Implemented advanced security measures by integrating JWT (JSON Web Token) authentication via the

"drf-jwt" package into the Django REST framework. Additionally, I utilized the "drf-yasg" package to automatically generate Swagger/OpenAPI 2.0 specifications for comprehensive API documentation. Deployed Prisma Cloud runtime protection to guard against threats such as SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF). Real-time data flow monitoring was implemented to detect and prevent unauthorized access and data exfiltration, supported by rigorous Threat Analysis and Risk Assessments (TARA) to proactively address potential vulnerabilities.

• Logging and Monitoring Integration: Integrated Splunk Enterprise for real-time logging and monitoring of API activities, with results visualized through a Splunk Dashboard. The secure platform architecture was deployed on Dell’s customized Pivotal Cloud Foundry (PCF) environment, ensuring scalability and resilience in a corporate setting.

• Cybersecurity Posture Enhancement: Leveraging Python, Django, and the Panorama API, I significantly improved the management of firewall configurations while embedding comprehensive security controls throughout the API lifecycle. This included real-time monitoring, logging, and automated threat detection, collectively bolstering the organization's cybersecurity framework. Additionally, I ensured that the backend architecture adhered to ISO/SAE 21434-compliant threat models, systematically identifying, analyzing, and mitigating cybersecurity risks throughout the development lifecycle.

Sr. Solution Lead Engineer, Cycuity Inc., San Jose, CA (Contract): 12/2020-09/2021 As a Sr. Solution Engineer, I was responsible for designing and developing a modern RESTful full-stack solution to replace a legacy 32-bit desktop application used for proprietary testing software. My role was pivotal in modernizing the application architecture and ensuring seamless integration of advanced technologies. Key contributions include:

• Backend Architecture Design: Architected the backend using Java Spring Boot following the MVC pattern, integrating it with a MongoDB database to deliver API microservice endpoints. Documented a comprehensive Swagger interface to expose RESTful API endpoints, ensuring alignment with application requirements. Managed dependencies using Apache Maven and secured the API with JWT tokens.

• Frontend Development & Data Visualization: Implemented complex algorithms to process and manage data from MongoDB collections, visualizing it in real-time using Gantt charts. Prototyped and developed the frontend using React.js, ensuring seamless integration with the backend API to deliver a user-friendly and responsive UI. The tech stack included Java Spring Boot, React.js, Next.js, MongoDB, HTML5, Gantt Charts, NPM, Twilio API, Swagger, GIT, Docker, and JPA.

• CI/CD Implementation & Deployment: Engineered CI/CD architectures for both on-premises and cloud environments. For on-premises deployment, created Docker containers from MongoDB collections, Java Spring Boot, and React.js source code. Automated the generation of

.war files using Bash scripting and YAML files, enabling deployment even in environments without internet access.

• Cloud Deployment & Kubernetes Orchestration: Designed and implemented RBAC rules on GCP infrastructure, utilizing Kubernetes GKE to support a subscription-based Software as a Service (SaaS) model. Leveraged Terraform to automate the provisioning of isolated environments for each customer signup, including dedicated domains, databases, and microservice containers. Integrated subscription and payment systems using Stripe API. Managed NGINX ingress controllers and deployment-level changes using Node.js Kubernetes API.

• Automation & Compliance: Developed test automation triggers based on Kubernetes pod events and implemented Apache Airflow to manage complete deletion requests in compliance with CCPA and GDPR guidelines, adhering to data protection and privacy requirements.

• Monitoring & Backup Solutions: Deployed robust event monitoring and alerting systems using OpenElastic and Grafana/Helm-Charts. Integrated Velero for comprehensive backup and restoration of Kubernetes cluster resources, ensuring system resilience and data integrity. During my tenure at Cycuity, I played a critical role in the complete overhaul of the legacy testing software, delivering a scalable, secure, and user- friendly modern solution. My expertise in Java Spring Boot, React.js, MongoDB, Kubernetes, and CI/CD pipelines was instrumental in enhancing both the functionality and user experience of the application. Full-Stack API Lead Engineer, Think Unlimited Inc., Chicago, IL (Contract): 12/2019-09/2020 In my role as a Full-Stack API Engineer, I was responsible for the complete design and development of the Think Lead Optimizer (TLO), a sophisticated RESTful full-stack Software as a Service (SaaS) application aimed at optimizing sales lead tracking. This application seamlessly integrated with the Salesforce CRM and Salesforce Platform API, leveraging advanced lead scoring and grading techniques to provide sales representatives with actionable insights, thereby optimizing the sales pipeline. Key responsibilities included:

• Backend Development & Data Integration: Architected and developed the backend services using Python, PostgreSQL, Salesforce CRM, Salesforce Platform API, and AWS Glue for data integration. Orchestrated ETL Processes to prepare data for analytics, machine learning, and application development. The backend exposed approximately 21 RESTful API endpoints, consumed by an Angular.js 9/TypeScript frontend. Additional technologies utilized included Node.js and Twilio for secure SMS authentication. Integrated AWS Simple Notification Service (SNS) and Simple Queue Service (SQS) for asynchronous messaging and inter-service communication, enabling reliable, scalable message-driven architecture for tasks like lead scoring updates and real-time sales alerts.

• AI & Machine Learning Integration: Integrated AI and machine learning capabilities into the TLO application using Python libraries such as NumPy, SciPy, and Pandas. Conducted real-time data preprocessing, exploratory data analysis, feature engineering, and modeling, applying both supervised and unsupervised machine learning techniques, including regression, classification, clustering, and deep learning models, to deliver advanced analytics and insights.

• CI/CD Pipeline & Cloud Deployment: Designed and implemented a robust CI/CD pipeline on AWS, leveraging Docker Compose, Jenkins, EC2, and ECS for container management. Utilized Terraform to automate the provisioning and management of AWS resources. To optimize infrastructure costs, migrated from ECS to the Sonatype Nexus container registry and transitioned to Kubernetes for scalable orchestration. Deployed a Kubernetes KOPS cluster for development and AWS EKS for production, following the Blue-Green deployment strategy to ensure zero downtime during updates.

• Monitoring & ETL Orchestration: Implemented comprehensive event monitoring and alerting using Prometheus, Grafana, and Helm-Charts, providing interactive visualizations for tracking application metrics. Additionally, prototyped ETL pipeline orchestration using Apache Airflow and Kubeflow, ensuring efficient and scalable data workflows. Throughout my tenure as a Full-Stack API Engineer at Think Unlimited Inc., I played a pivotal role in designing, developing, and integrating the Think Lead Optimizer (TLO) application. My expertise in Python, Salesforce CRM, Salesforce Platform API, Angular.js, and advanced machine learning techniques empowered sales representatives with critical insights. Additionally, my proficiency in AWS, Docker, Jenkins, Kubernetes, and monitoring tools ensured efficient deployment, orchestration, and monitoring of the application throughout its lifecycle. Integration of AWS SNS and SQS further enhanced the application's reliability, scalability, and inter-service communication. API Integration Developer, CGI Inc., New York, NY (Contract): 09/2019-11/2019 As the Apigee SME for Project Wilson, I provided expertise in Apigee API Management for the development of a COTS (Commercial Off-The-Shelf) Apigee-based supply chain financing application for the banks deadline. My work focused on architecture, design, deployment, and best practices for Apigee. I was responsible for developing and maintaining Apigee proxies, implementing rate limiting, adding custom functionality, and automating DevOps and CI/CD integration for streamlined API deployment. I ensured smooth application integration using Apigee while enforcing security measures such as OAuth2, API key management, and Mutual TLS. Key achievements include:

• Implementing robust fault handling and integrating logging into Splunk for effective monitoring.

• Enhancing performance through caching strategies and externalizing configuration with Key Value Maps.

• Developing traffic management strategies for handling spikes and quotas.

• Engineering secure data transmission using JavaCallouts and optimizing proxy performance with asynchronous flows. Overall, my technical contributions ensured fault tolerance, security, and scalability, significantly improving the performance and reliability of the system within the project’s short timeframe.

Co-Founder/CIO, Augmate Corporation, New York, NY (Startup/Part-Time): 02/2013-08/2019 As the Lead Technical Architect for Augmate Connect™, I was pivotal in architecting and developing the core environment for our platform, which included a sophisticated distributed IoT device management layer and a policy engine integrated with blockchain and block-less IoT protocols. I played a foundational role in building the startup, securing media customers and clients, and establishing the AWS cloud infrastructure to support distributed and offshore development teams.

• Blockchain & IoT Integration: Led the setup of a Hyperledger Fabric and Fabric SDK on EC2 servers for the development team. Architected and implemented an IoT Blockchain solution utilizing Utility the MATE Tokens and prototyped a Blockchain application leveraging Hyperledger Fabric to create an IoT Asset Management Systems interface.

• AWS Infrastructure Management: Configured and managed a wide range of AWS services, including VPC, EC2, S3, ELB, Lambda, EBS, RDS, AWS Glue, and DynamoDB. Implemented messaging processing using Kafka ensured high availability and scalability through Route 53d.

• Microservices & API Development: Directed the design and development of asynchronous RESTful Microservices backend services using Node.js, Golang, and Kotlin Spring Boot, adhering to the 12-factor app methodology. Successfully implemented the MuleSoft API Gateway, showcasing expertise in the MuleSoft Anypoint Platform, including Mule runtime, Anypoint Studio, DataWeave, MUnit, and API Manager. Led the development of Java and MuleSoft solutions with comprehensive testing (unit, performance, and load).

• VPC & Network Configuration: Created Virtual Private Clouds (VPCs) and configured Public/Private Subnets to enable cross-zone connectivity within the VPC. Managed AMIs, snapshots, and volumes, performing resource upgrades and downgrades based on CloudWatch monitoring.

• Agile & XP Leadership: Guided the development team in adopting Extreme Programming (XP) and agile practices, including automated testing, refactoring,

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