Stack Developer Machine Learning

Praneeth Reddy Nagilla

FULL STACK DEVELOPER

+1-913-***-**** Portfolio LinkedIn GitHub

****************@*****.*** Irving, Texas

PROFESSIONAL SUMMARY:

• Full Stack Engineer with around 4 years of experience delivering cloud-native, AI-driven applications across healthcare, fintech, and enterprise domains.

• Earned Master’s in Computer Science, excelling in data structures, algorithms, advanced system design, networks, databases, and AI/ML, while applying practical knowledge through Curricular Practical Training (CPT).

• Applied academic expertise to develop, optimize, and deploy machine learning models using computational foundations, algorithm design, and data pipeline architectures.

• Proficient in leveraging leading AI tools, including GPT-4, LangChain, Azure OpenAI, TensorFlow, PyTorch, and MLflow, to build scalable and explainable AI solutions.

• Skilled frontend developer with experience in React.js (v17/v18), Angular, Flutter, mobile app development, TypeScript, RxJS, and GraphQL, crafting dynamic and accessible user experiences.

• Strong backend expertise in Java (Spring Boot), Python, Node.js, GoLang, microservices, REST/GraphQL APIs, focusing on asynchronous processing, fault tolerance, and high-volume transaction systems.

• Experienced in cloud environments with AWS, Azure, Google Cloud, deploying serverless functions, managing Kubernetes clusters, and automating infrastructure with Terraform and Helm.

• Adept at DevOps and continuous integration practices using Jenkins, GitHub Actions, CircleCI, ArgoCD, combined with monitoring via Prometheus, Grafana, Splunk, and OpenTelemetry.

• Knowledgeable in big data and analytics, utilizing tools such as Apache Spark, dbt, Airflow, Athena, and Looker for scalable data engineering and visualization.

• Well-versed in security and compliance, implementing OAuth2, JWT, IAM, TLS, and adhering to standards including PCI DSS, HIPAA, and SOX.

• Certified as AWS Developer – Associate and Microsoft Azure Developer Associate, demonstrating commitment to ongoing professional development.

• Effective collaborator and communicator within Agile teams, contributing to API design, technical documentation, and cross-functional project success.

• Skilled in enterprise database systems such as Oracle and IBM Db2, filling a niche often underrepresented but critical for legacy system integrations and banking/financial sectors.

• Proficient with emerging AI governance and ethics frameworks, enabling responsible AI development aligned with industry standards and reducing enterprise risks.

• Experience with AI/ML deployment and MLOps tools such as MLflow, TensorFlow Serving, and model monitoring platforms to ensure scalable, robust AI systems in production.

• Data engineering expertise with a focus on building robust, secure data pipelines leveraging AWS, Azure, Apache Spark, and orchestration tools like Apache Airflow, enabling seamless data flow and feeding machine learning models effectively.

TOOLS AND TECHNOLOGIES:

• Programming Languages: Java (11-17), Python, JavaScript/TypeScript, Go (Golang), Rust

• Frontend: React.js (v17, v18), Angular (10+), Flutter, React Native, Redux, RxJS, Bootstrap

• Backend & Frameworks: Spring Boot (2.x, 3.x), Node.js (Express), Ruby on Rails, Flask, Micronaut, Quarkus, NestJS

• Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Oracle DB, Cassandra, Redis, Snowflake, Google BigQuery

• Cloud Platforms: AWS (Lambda, ECS, EKS, RDS, S3), Azure (App Services, Functions), Google Cloud Platform (Functions, Firestore, Pub/Sub)

• AI/ML Tools: TensorFlow, PyTorch, GPT-4 (OpenAI API), LangChain, MLflow, Apache Spark, Databricks

• Containerization & Orchestration: Docker, Kubernetes, Helm

• CI/CD & DevOps: Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD, Terraform, Ansible

• Messaging & Streaming: Kafka, RabbitMQ, AWS Kinesis, Azure Event Hubs

• Monitoring & Logging: Prometheus, Grafana, ELK Stack, Splunk, DataDog, New Relic

• Security & Compliance: OAuth2, JWT, IAM, TLS, AWS KMS, Vault, Snyk, Trivy

• Data Engineering: Airflow, dbt, AWS Athena, Looker, Snowflake EDUCATION:

• Master of Science in Computer Science from University of Central Missouri, Missouri, USA - Dec 2024 PROFESSIONAL EXPERIENCE:

Centene Corporation, Saint Louis, United States Jan 2025 – Present Role: Full Stack Developer

Project Overview: Delivering full-stack solutions for an enterprise healthcare platform used for Medicaid and Medicare claim intake, eligibility validation, and care coordination. The system integrates with EHR providers, adheres to HIPAA and FHIR standards, and incorporates real-time data analytics and machine learning for audit, risk, and workflow efficiency. Functional Role Details:

• Designed and delivered full-stack solutions for a healthcare platform handling Medicaid and Medicare claim intake, eligibility validation, and care coordination, ensuring compliance with HIPAA and FHIR standards.

• Built modular web and mobile interfaces using React.js, Angular, and Vue.js, enabling members and providers to access claim status, eligibility, and document uploads across platforms.

• Developed and optimized Spring Boot microservices (Java 11/17) for claims intake and enrollment workflows, implementing asynchronous APIs with WebFlux and retry-aware Spring Batch flows for high-volume job processing.

• Integrated Generative AI solutions including GPT-4, LangChain, Azure OpenAI, and ChromaDB to automate document summarization, triage, and provider chat assistance, cutting manual review times by 60% and improving SLA compliance.

• Built Python-based data pipelines with Spark and Pandas for claims enrichment, feeding ML models that performed risk scoring, anomaly detection, and audit classification.

• Architected a GenAI-powered internal chatbot for provider services using LangChain, ChromaDB vector stores, and Azure OpenAI APIs, accelerating agent responses by 40% in eligibility queries.

• Enhanced data access with GraphQL alongside REST APIs, allowing clients to fetch lightweight, field-specific responses and improving UI responsiveness across React/Angular portals.

• Deployed workloads on Azure Kubernetes Service (AKS) and Azure Functions, with infrastructure automated via Terraform and Helm, while integrating CI/CD pipelines in GitHub Actions and ArgoCD.

• Configured observability with OpenTelemetry, Prometheus, Grafana, and Splunk dashboards, improving API monitoring and reducing mean-time-to-resolution of incidents across claims workflows.

• Implemented secure authentication and authorization with OAuth2, JWT, and Azure AD IAM roles, enabling role-based access control for members, providers, and auditors.

• Added Elasticsearch + MongoDB with ChromaDB vector search to power semantic lookups for claims and documents, improving auditor efficiency in compliance reviews.

• Designed and documented OpenAPI/Swagger contracts for microservices, accelerating API adoption and reducing onboarding friction for internal and partner developers.

• Delivered serverless ingestion pipelines by replacing legacy file parsers with event-driven Azure Functions + S3/DynamoDB integration, significantly reducing batch failures.

• Collaborated with cross-functional Agile teams, mentoring juniors on GenAI integration patterns and contributing to design reviews and sprint planning for secure, scalable healthcare solutions. Wells Fargo, Pune, India Aug 2021 – July 2023

Role: Software Engineer

Project Overview: Worked on backend modernization for Wells Fargo’s internal banking systems focused on payroll, ledger reconciliation, and financial reporting. The platform emphasized SOX compliance, audit traceability, and the early integration of data pipelines supporting downstream AI models for financial risk and anomaly analysis. Functional Role Details:

• Worked on backend modernization of payroll, fund transfers, and ledger reconciliation systems, focusing on audit traceability, SOX compliance, and scalability.

• Developed and optimized Spring Boot APIs (Java 11) for high-volume payroll and reconciliation workflows, deployed on AWS EC2 and ECS with automated pipelines in Jenkins.

• Designed microservices backed by Oracle DB, applying partitioning and indexing strategies to handle large-scale financial transactions with improved query performance.

• Built Python Flask APIs to expose anomaly detection services powered by Pandas and Spark pipelines, enabling downstream AI/ML models for fraud and risk analysis.

• Integrated Kafka event streams to support real-time transaction ingestion and connected them with anomaly detection jobs for proactive alerting.

• Migrated legacy batch jobs to Spring Batch + retry-aware workflows, stabilizing end-of-day closures and eliminating reconciliation failures.

• Implemented custom caching with Redis + async Java streams, cutting payroll processing runtimes by 40%.

• Strengthened observability by deploying Grafana dashboards + AWS CloudWatch metrics for monitoring memory usage, queue depth, and job performance across environments.

• Secured APIs with OAuth2 and JWT authentication flows, ensuring compliance with SOX audit requirements.

• Introduced Flyway-based schema versioning into CI/CD pipelines, making database migrations predictable and traceable.

• Actively participated in Agile sprint ceremonies, working with QA, business analysts, and risk teams to refine compliance rules and build documentation for SOX audit readiness. T-Mobile, Hyderabad, India Dec 2020 – July 2021

Role: Software Engineer

Project Overview: Contributed to the development of T-Mobile’s internal fund transfer and settlement system, used for ACH-style batch payments, RTP (real-time payments), and internal clearing operations. The platform emphasized performance, secure API integration, and high-throughput microservices running across containerized environments. Functional Role Details:

• Operations team struggled with latency in fund tracking; developed interactive dashboards using jQuery, Ajax, Bootstrap, and HTML/CSS to enable instant transaction lookups and step-based workflow tracking.

• Contributed to T-Mobile’s internal fund transfer and settlement platform supporting ACH-style batch payments, RTP

(real-time payments), and internal clearing workflows.

• Built React.js dashboards for operations teams to monitor transaction states, fund transfers, and approvals in real time, improving SLA compliance and reducing delays.

• Developed and deployed Spring Boot APIs for payment initiation, settlement, and reconciliation, ensuring secure and low-latency processing of financial transactions.

• Applied asynchronous event-driven design with GCP Pub/Sub + Firestore logging, enabling reliable message delivery and full audit traceability across services.

• Automated backend reconciliation tasks with GCP Cloud Functions + Cloud Scheduler, improving consistency of validations and reducing manual intervention.

• Set up CI/CD pipelines using Jenkins and GCP Cloud Build, containerized applications with Docker, and deployed services on Kubernetes.

• Enhanced observability by integrating Grafana dashboards with GCP Monitoring, providing end-to-end visibility into API performance and settlement workflows.

• Implemented Cypress tests for React components and API endpoints, ensuring quality releases and reducing production regressions.

• Collaborated in Agile teams with QA and product owners, refining workflows and delivering compliant, production- grade financial APIs.

ECIL, Hyderabad, India June 2017 – Dec 2017

Role: Junior Engineer

Project Overview: Worked on the development of a basic Hospital Management System used for managing appointments, patient records, and doctor scheduling. The system was built using Java and SQL and focused on improving hospital workflow efficiency through digital recordkeeping and form-based UI interaction. Functional Role Details:

• Contributed to the development of a hospital management platform for patient records, doctor scheduling, and appointment management using Java, SQL, and frontend frameworks.

• Built responsive web interfaces with HTML5, CSS3, JavaScript, Bootstrap, and Angular, implementing form validations, dynamic dropdowns, and reusable UI components to improve staff productivity.

• Developed interactive scheduling modules in Angular, binding data from Java APIs into responsive tables and calendars, enabling faster updates and real-time availability checks.

• Created mobile prototypes using Flutter/Dart for appointment booking and record lookup, testing cross-platform capabilities to extend system access beyond desktops.

• Experimented with Kotlin and Android SDK to build a native Android app for hospital staff, implementing simple screens, activity navigation, and SQLite integration for offline use.

• Designed and normalized SQL schemas for patient and visit records, reducing redundancy and improving relational query performance.

• Built REST APIs in Java servlets to connect Angular and Flutter frontends with backend databases, enabling secure data exchange for patient details and scheduling.

• Conducted manual testing of Angular UIs, Flutter flows, and API connectivity, assisting QA teams in stabilizing early system releases.

• Documented UI workflows, Angular component structures, and mobile app screen designs for team knowledge sharing and onboarding.

• Gained practical exposure to full-stack development with an emphasis on frontend engineering (Angular, HTML, CSS, JS) and mobile development (Flutter, Dart, Kotlin), laying the foundation for later enterprise-scale projects. CERTIFICATIONS:

• AWS Certified Developer - Associate (DVA-C02) Amazon Web Services

• Microsoft Certified: Azure Developer Associate (AZ-204) Microsoft PUBLICATIONS:

Title: Development and Performance Evaluation of NavIC-Based Reefer Monitoring System Authors: N. Praneeth Reddy, B. Sumanth Reddy, A. Supraja Reddy, K. Satyanarayana, V. Dileep Reddy Published In: Advances in Signal Processing and Communication Engineering, Springer, July 2024 Abstract: Proposed a NavIC-based monitoring system to ensure real-time tracking of environmental conditions in refrigerated containers (reefers) for transporting temperature-sensitive goods. The system leverages NavIC for precise geolocation, enhancing logistics efficiency and reducing spoilage losses. Link: https://link.springer.com/chapter/10.1007/978-***-**-****-7_15

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