Software Engineer Solutions Architect

Sreeniketh Aathreya

Software Engineer / Solutions Architect

sreenikethaathreya.com ******************@*****.*** +1-571-***-**** linkedin.com/in/sreeniketh-aathreya Professional Summary

• Outcome-driven Software Engineer with over 4 years of comprehensive experience in Python automation, DevOps practices, Data Science, ML/AI, and Cloud technologies with proven leadership capabilities in enterprise environments.

• Extensive experience in designing and implementing end-to-end scalable applications, automation frameworks, and cloud-based solutions across multiple industries, including fintech, healthcare, and e-Commerce.

• Expert knowledge in full-stack development with proficiency in modern web technologies including React, HTML5, CSS3, Node.js, and RESTful API development with GraphQL integration.

• Worked extensively with Object-Oriented Programming concepts in Python, Java, Kotlin, and GOLANG, implementing robust software architecture patterns and design principles in enterprise applications.

• Deep expertise in the cloud computing ecosystem: AWS (EC2, RDS, Lambda, CloudFormation, ELB), GCP, Docker containerization, Kubernetes orchestration, and Infrastructure as Code with Terraform.

• Experience in creating and managing Docker containers leveraging existing Linux environments and AMI’s, as well as building containerized applications from scratch for scalable deployment.

• Comprehensive experience in Data Engineering with structured and unstructured data processing, ETL pipeline development, data validation, and advanced analytics using Python and distributed computing frameworks.

• Hands-on experience with cutting-edge AI/ML libraries and frameworks including OpenAI, Anthropic, Llama3, TensorFlow, and implementing RAG (Retrieval Augmented Generation) systems for enterprise applications.

• Built and consumed numerous REST APIs and GraphQL endpoints, utilizing Python’s advanced modules for JSON/XML data processing in Django, Flask, and Node.js environments.

• Proficient in distributed systems, blockchain technology with R3 Corda platform, and NoSQL databases with expertise in applying data optimization techniques in B2B and B2C enterprise solutions.

• Strong understanding of CI/CD pipelines, DevOps methodologies, and have successfully implemented automated deployment strategies using GitHub Actions, Jenkins, and Kubernetes across multiple cloud platforms.

• Extensive experience with security frameworks, vulnerability assessment, DDoS mitigation, and implementing enterprise-grade access control systems for sensitive data governance.

• Deep knowledge of SDLC, Agile, and Scrum methodologies with proven track record of leading cross-functional teams and delivering multi-million dollar projects on time and within budget.

• Hands-on experience with advanced ML techniques including natural language processing, computer vision, reinforcement learning, and implementing socially-aware AI systems with 98+ % accuracy rates.

• Strong background in database design and optimization across multiple platforms including PostgreSQL, MySQL, Oracle, and implementing materialized views for performance enhancement.

• Comprehensive knowledge of monitoring and observability tools including Prometheus, Grafana, CloudWatch, and Datadog for maintaining high-availability production systems.

• Experience with e-commerce platform development, payment gateway integration, and implementing personalized recommendation systems that increased business metrics by 180%+.

• Proficient in automation testing frameworks, security audit scripting, and system log analysis that reduced vulnerabilities by 30% in enterprise environments.

•F1/OPT, H1B lottery picked

Technical Skills

Languages and Frameworks: Python, Go(GOLANG), Java Script, Bash, React, Kotlin, SQL, C, C++, Java, YAML Operating Systems: Linux, Windows, Unix, Ubuntu.

Web Technologies: JavaScript, HTML, RShiny, XML, CSS, PHP, WordPress, Bootstrap, Spring, RabbitMQ Database Management: MS Access, MySQL, Oracle, PostgreSQL, RESTful APIs, GraphQL Cloud Computing Tools: AWS-EC2 Interface, RDS, ELB, Elastic Cache, CloudFormation, Glacier, Snowball, Cloudtrail, CloudWatch, Prometheus, Grafana, Beanstalk, Git-Lab, Docker, Ansible Tower, Terraform, Bit Bucket, Datadog Jenkins, Helm, GitHub, Databricks, Docker, Github Actions, NodeJS, Kubernetes, Aurora. LLM integrations: Anthropic, OpenAI, Llama3

Certifications

AWS Certified AI Practitioner : Credly and Certmetrics(2024-09-30 to 2027-09-30) AWS Certified Developer – Associate : Credly and AWS(2021-09-03 to 2024-09-03) AWS Certified Solutions Architect – Associate : Certmetrics(2020-12-12 to 2023-12-12) AWS Certified Data Engineer – Associate

Corda Certified Developer

Databricks Lakehouse Fundamentals : Databricks(2024-08-27 to 2026-08-27) Databricks Generative AI Fundamentals Databricks(2024-08-26 to 2026-08-26) Projects

• Medical Blog Generation: Designed automated workflows within an AWS-native environment that streamlined medical blog generation based on real-time updates from vast drug databases while maintaining accuracy through rigorous content validation protocols across 5 distinct categories.(Click here)

• RAG-Ops Toy Store: Development/Ops for personalized recommendations through natural language queries from a database of 15000 Amazon products using retrieval augmented generation(RAG).(Click here)

• Elderly Assistance Robot: Implemented a socially cognizant robot that implemented the concept of crowd navigation using OpenAI Baselines, which achieved a 98% human validator accuracy.(Click here) Paid Side-Projects

Lead Software Developer, Amore Nidra Inc. – Los Angeles, CA September 2024 - Present

(Click here)

• Architected and developed a complete luxury e-commerce platform from scratch as the sole developer for a high-end fashion designer firm, leveraging advanced Liquid templating, JavaScript ES6+, and modern CSS3 techniques that resulted in 180% increase in brand engagement metrics.

• Designed and implemented custom Shopify applications and seamless third-party integrations using Node.js, GraphQL APIs, and advanced JavaScript frameworks, delivering measurable business impact with 45% increase in average order value and remarkable 200% increase in online sales revenue.

• Engineered comprehensive performance optimization across the entire Shopify technology stack, implementing advanced caching strategies, image optimization, and code splitting that reduced page load times by 60% and created streamlined inventory management workflows, resulting in 70% faster restocking processes.

• Developed sophisticated customer analytics dashboard and personalized shopping experience features that enhanced user engagement and conversion rates through data-driven insights and behavioral analysis.

• Implemented secure payment gateway integrations, advanced fraud detection mechanisms, and PCI-compliant checkout processes to ensure customer data security and seamless transaction experiences.

• Created automated marketing campaigns and email integration systems that improved customer retention rates and implemented SEO optimization strategies that increased organic traffic by 150%.

• Environment: Shopify, Liquid, Node.js, GraphQL, JavaScript, CSS3, Payment Gateway APIs, E-commerce Analytics, SEO Optimization, Customer Analytics.

AI Security Researcher, Ackuity.ai – Fairfax, VA September 2024 - Jan 2025

• Spearheaded the development of enterprise-grade access control frameworks for Amazon Bedrock, implementing sophisticated metadata filtering and role-based authentication systems that enable secure doctor-patient data governance while maintaining full LLM functionality and reducing unauthorized data access risks by 90%.

• Architected and delivered multiple comprehensive security functions and developer tools for Bedrock platform that increased development team productivity by 200% through automated security validation, streamlined authentication processes, and enhanced developer experience.

• Technical papers published on (click here - Medium) and (click here - LinkedIn) with a combined total of 3000 reads.

• Conducted extensive vulnerability assessments and penetration testing on LLM systems, identifying and mitigating potential security threats in AI-powered healthcare applications while ensuring HIPAA compliance and data privacy regulations.

• Environment: Amazon Bedrock, Python, AI Security, LLM Security, Healthcare Data Governance, HIPAA Compliance, Vulnerability Assessment, Technical Writing. Experience

Software Development Engineer, i-Link solutions – Chantilly, VA December 2024 - Present

• Leading development and maintenance of Lantern, an open-source critical healthcare monitoring application developed in collaboration with ONC (Office of the National Coordinator for Health Information Technology) and MITRE Corporation that monitors fielded health IT systems’ certified FHIR API endpoints nationwide, providing analytics about FHIR adoption and patient data availability across the United States used by payers and providers to view the availability and capabilities of FHIR servers across the US.

• Architected and implemented sophisticated database optimization strategies that reduced I/O operations load on PostgreSQL database by 66% for the application’s comprehensive auditing and historical data maintenance framework, significantly improving system performance for processing millions of healthcare endpoint queries daily.

• Revolutionized application performance by optimizing dashboard load times by 80% through strategic replacement of single-threaded front-end operations on RShiny with efficient PostgreSQL materialized views, enabling real-time access to pre-aggregated healthcare interoperability data from thousands of FHIR endpoints across the nation.

• Developed and maintained complex microservices architecture including Capability Querier (queries endpoints for FHIR Capability Statements every 23 hours), Capability Receiver (processes and validates capability statements), and Endpoint Manager (manages endpoint querying workflows) using Go and Python.

• Implemented comprehensive data collection and validation frameworks that process FHIR endpoint lists from certified health IT developers, linking endpoints to organizations using National Provider Identifier (NPI) data from NPPES and Certified Health IT Product List (CHPL) database information.

• Designed and implemented automated monitoring systems with data collection failure detection scripts that send alerts when FHIR endpoint data collection fails, ensuring continuous nationwide healthcare API monitoring with 99.9% uptime reliability.

• Built sophisticated data visualization and analytics pipelines that provide public-facing insights into healthcare interoperability compliance, supporting ONC’s enforcement of 21st Century Cures Act Final Rule requirements for FHIR API standardization.

• Environment: Go, Python, RShiny, PostgreSQL, RabbitMQ, Docker, Kubernetes, FHIR Standards, ONC Healthcare Compliance, CHPL Integration, NPPES Data Processing, Open Source Development, Government Healthcare IT.

(Lantern)

Professional Services Engineer, R3 – Manhattan, NY June 2023 - Apr 2024

• Orchestrated and successfully closed a $4 million enterprise deal with a major external banking institution by creating comprehensive full-stack sales engineering demonstrations, developing highly available and scalable Corda blockchain applications hosted on AWS infrastructure using advanced Kotlin and Python programming on R3’s distributed ledger platform.

• Architected and implemented enterprise-grade CI/CD automation pipelines for Corda worker deployment utilizing GitHub Actions and Kubernetes replica sets for blockchain database and web API management, provisioning entire infrastructure through Infrastructure as Code with Terraform, resulting in 20+ development hours saved per week across multiple development teams.

• Engineered resilient cloud infrastructure solutions on both AWS and GCP platforms, seamlessly integrating Jenkins for continuous integration, JFrog Artifactory for artifact management, and Kubernetes for container orchestration, achieving 50% reduction in deployment time and enabling scalable, reliable deployments for multiple enterprise end users.

• Developed sophisticated blockchain smart contracts and distributed applications (DApps) using Corda’s unique UTXO model, implementing complex business logic for financial institutions and ensuring regulatory compliance across multiple jurisdictions.

• Environment: Kotlin, Python, R3 Corda, Blockchain, AWS, GCP, Kubernetes, Docker, Terraform, Jenkins, GitHub Actions, JFrog Artifactory, Distributed Systems, Smart Contracts. Solutions Architect, Akamai Technologies Inc. – Bengaluru, India Nov 2021 - July 2022

• Contributed to streamlined enterprise workflows by developing sophisticated automation scripts and integration solutions for web enhancement platforms, successfully creating and deploying 22 new features for delivery and security products that improved overall system efficiency by 125% across global CDN infrastructure.

• Drove comprehensive presales strategy initiatives by designing and demonstrating cutting-edge services that address complex web performance and security challenges for global enterprise customers through detailed Proof of Concepts (POCs), utilizing unified CDN and security platform capabilities to secure and influence $20M+ in enterprise deals.

• Managed advanced performance tuning initiatives for rate control mechanisms, DDoS mitigation strategies, comprehensive vulnerability analysis, and enterprise security protocol implementations for large-scale service operations, streamlining critical processes that are now utilized by over 15 team members across multiple geographic regions.

• Architected and implemented sophisticated content delivery network optimizations that reduced latency by 40% for major e-commerce clients during peak traffic periods, ensuring seamless user experiences during high-demand events.

• Collaborated with cross-functional teams including sales, engineering, and customer success to deliver tailored solutions that met specific customer requirements while maintaining platform scalability and security standards.

• Environment: Python, JavaScript, CDN Technologies, DDoS Mitigation, Web Performance Optimization, Security Analysis, Automation Scripting, Global Infrastructure Management. Application Security Engineer, Cognizant Technology Solutions – Bengaluru, India Aug 2020 – Nov 2021

• Developed and implemented comprehensive automation scripts for security audits and advanced system log analysis that resulted in a significant 30% decrease in system vulnerabilities across enterprise applications and infrastructure, enhancing overall organizational security posture.

• Demonstrated expert-level proficiency in Linux system administration and successfully applied DevOps principles to streamline software development and deployment processes, implementing optimized CI/CD pipelines that reduced time-to-deploy by 60% while maintaining security compliance and code quality standards.

• Conducted thorough vulnerability assessments and penetration testing across multiple application environments, identifying critical security gaps and implementing robust remediation strategies that prevented potential security breaches.

• Designed and implemented automated security monitoring systems that provided real-time threat detection and incident response capabilities, reducing mean time to threat resolution by 45% across the organization.

• Collaborated with development teams to integrate security best practices into the software development lifecycle, conducting security code reviews and implementing secure coding standards that reduced security-related bugs by 50%.

• Led security awareness training sessions for development teams and created comprehensive documentation for security protocols and best practices, improving overall team security knowledge and compliance.

• Environment: Linux Administration, Python, DevOps, CI/CD Pipelines, Security Auditing, Vulnerability Assessment, Penetration Testing, Automation Scripting, Incident Response. Education

• Rutgers University, MS in Computer Science GPA: 3.9/4.0 Sept 2022 - May 2024

• PES University, B.Tech in Computer Science GPA: 3.5/4.0 Aug 2016 - June 2020

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