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Vijay - Sr Python Developer

[email protected]

Location: Frisco, Texas, USA

Relocation: Yes

Visa: H1B

Resume file: Vijay_S_Python_GenAI_Engineer_1786570034815.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

VIJAY S Senior Python & GenAI Engineer | LangChain LangGraph RAG Pipelines FastAPI Django | Financial Services [email protected] PROFESSIONAL SUMMARY Senior Python and GenAI Engineer with 9+ years building enterprise-grade backend systems and production AI applications in financial services. Hands-on expertise across the full GenAI engineering stack LangChain, LangGraph, RAG pipelines, Pinecone and FAISS vector databases, OpenAI API integrations, and multi-agent LLM orchestration. Consistent track record at JPMorgan Chase and Barclays Bank delivering high-throughput FastAPI and Django microservices, event-driven Kafka and AWS Lambda architectures, and Redis-backed data platforms. Writes clean, well-tested Python with a TDD mindset, leads code reviews with OAuth2 and security-first standards, and ships production systems with 99.9%+ uptime under strict financial-sector requirements. TECHNICAL SKILLS Languages Python 3 (expert), SQL, TypeScript, JavaScript GenAI & LLMs LangChain, LangGraph, RAG Pipelines, Prompt Engineering, OpenAI API, Pinecone, FAISS, Text Embeddings, LLM Agent Orchestration, LangSmith Backend FastAPI, Django, Flask, Django REST Framework, SQLAlchemy, REST APIs, Microservices AWS Lambda, API Gateway, DynamoDB, ECS, EKS, S3, SQS, SNS, CloudWatch, CloudFormation Data & DB PostgreSQL, MySQL, MongoDB, Redis, Apache Kafka, ETL Workflows, Data Pipelines Infrastructure Docker, Kubernetes, Terraform, AWS CDK, GitHub Actions, Jenkins, Prometheus, Grafana Security & QA OAuth2, JWT, TDD, Unit Testing, Integration Testing, Code Reviews, Security Best Practices Practices Agile/Scrum, Microservice Architecture, Performance Tuning, Financial Services Engineering PROFESSIONAL EXPERIENCE Sr. Python & GenAI Engineer | JPMorgan Chase & Co. Jan 2025 Present Tech Stack: Python, FastAPI, Django, LangChain, LangGraph, OpenAI API, Pinecone, FAISS, AWS (Lambda/ECS/EKS/S3/API Gateway/SQS/DynamoDB), PostgreSQL, Redis, Kafka, Docker, Kubernetes, GitHub Actions, Jenkins Architected a production multi-agent GenAI platform using LangGraph stateful agent graphs and LangChain orchestration on AWS ECS integrating Pinecone vector search with OpenAI API embeddings and Python RAG pipelines to automate trading analytics research, reducing manual analyst review time by 45%. Built end-to-end RAG pipelines for JPMC's internal knowledge management system combining Pinecone serverless indexes and FAISS in-memory indices with OpenAI API text-embedding-3-large models, Python semantic chunking strategies, and FastAPI and Django REST endpoints serving 2M+ daily API requests at 99.95% uptime. Developed LangChain-powered document intelligence services using LangGraph agent workflows and FAISS similarity retrieval integrating OpenAI API tool-calling agents, Python prompt engineering templates, and FastAPI async serving layers to automate regulatory filing extraction and summarization across 15+ compliance teams. Engineered FastAPI async microservice backends and Django REST APIs for JPMC enterprise trading platforms implementing SQL-optimized PostgreSQL query patterns, DynamoDB data access layers, Kafka event-driven messaging processing 500M+ financial records daily, and OAuth2/JWT authentication enforcing zero-trust security. Implemented AWS Lambda and API Gateway serverless architectures for real-time financial data processing designing SQS-backed event pipelines, Redis distributed caching, Docker containerized services on Kubernetes EKS clusters, and GitHub Actions CI/CD automation reducing API vulnerability exposure by 60%. Established Python engineering quality standards across 15+ Agile squads standardizing TDD and unit testing frameworks, Jenkins and GitHub Actions automated test pipelines, SQL-optimized PostgreSQL query review standards, and Redis cache invalidation protocols achieving 65% throughput improvement. Built LangChain retrieval-augmented generation services and LangGraph orchestration agents for JPMC's risk analytics platform managing Pinecone index pipelines, FAISS candidate re-ranking layers, OpenAI API chat completions, Django admin knowledge base interfaces, and PostgreSQL audit logs meeting compliance requirements. Containerized and deployed Python microservice fleet on Kubernetes EKS architecting Docker multi-stage builds, AWS ECS task definitions, Kafka consumer group management, Redis pub/sub event notification layers, and Jenkins GitHub Actions deployment workflows supporting zero-downtime releases for 15+ engineering teams. Sr. Python Engineer / GenAI & Backend Developer | Barclays Bank Aug 2022 Dec 2024 Tech Stack: Python, Django, FastAPI, Flask, LangChain, LangGraph, OpenAI API, Pinecone, FAISS, AWS (Lambda/ECS/S3/API Gateway/DynamoDB), PostgreSQL, MongoDB, Redis, Kafka, Docker, Kubernetes, GitHub Actions, Jenkins Designed and deployed LangChain-based RAG pipelines for Barclays Bank's compliance and risk Q&A platform integrating FAISS vector indices with OpenAI API text embeddings, Django REST Framework serving layers, and Python retrieval chains delivering sub-200ms semantic search across 1M+ regulatory documents. Built LangGraph multi-step agent workflows for automated financial report processing implementing stateful graph execution with human-in-the-loop review gates, Pinecone long-term memory stores, OpenAI API LLM calls, FastAPI webhook endpoints, PostgreSQL checkpointing for audit trails, and TDD integration test coverage. Developed FastAPI and Django REST API microservices processing 5M+ daily banking records implementing event-driven AWS Lambda integrations, MongoDB document stores, PostgreSQL relational data layers, Kafka message bus for async transaction streaming, and Docker containerized ECS deployments achieving 99.95% platform reliability. Integrated Pinecone and FAISS vector databases with LangChain retriever chains and LangGraph orchestration for Barclays' intelligent document search engineering Python embedding ingestion pipelines, OpenAI API semantic scoring, multi-index RAG query routing, and metadata filtering layers reducing analyst retrieval time by 55%. Delivered Flask backend services and SQL-optimized PostgreSQL data pipelines for Barclays analytics implementing S3-based ETL data lake ingestion, Kafka event-sourced audit streams, JWT/OAuth2 API security controls, Python data transformation workflows, and automated indexing strategies achieving 50% latency reduction. Architected Redis distributed caching and session management integrated with FastAPI services and PostgreSQL data stores deploying Docker containers on Kubernetes clusters via Jenkins and GitHub Actions pipelines, implementing health-check automation and blue-green deployments achieving zero-downtime releases. Built Django REST Framework API services with Kafka event-driven messaging and FAISS nearest-neighbor search for real-time payment intelligence enforcing OAuth2 authorization flows, JWT token validation middleware, Python TDD unit testing practices, and AWS ECS containerized rollouts meeting PCI-DSS compliance requirements. Established LangChain, LangGraph, and RAG engineering standards across 10+ banking teams introducing Pinecone index management best practices, OpenAI API prompt engineering guidelines, Python automated test generation using TDD, and GitHub Actions CI/CD deployment pipelines reducing feature delivery cycles by 40%. Sr. Software Engineer / Python & Django Developer | IVY Comptech May 2019 Mar 2022 Tech Stack: Python, Django, FastAPI, Flask, AWS (Lambda/ECS/S3/API Gateway/DynamoDB), PostgreSQL, MySQL, Redis, Kafka, Docker, Jenkins, GitHub Actions Built Python Django REST API platforms for 10+ enterprise clients designing DRF backend service layers, AWS Lambda serverless integrations, SQL-optimized PostgreSQL schemas, and Docker containerized deployments handling 100K+ daily operations per client with 99.9% uptime. Developed FastAPI and Flask backend infrastructure across enterprise client environments implementing SQL-optimized PostgreSQL and MySQL query layers, DynamoDB NoSQL data access patterns, OAuth2 authorization frameworks, and JWT token-based API security controls enforced across all client platforms. Engineered Python REST API services with Django ORM layers and strict TDD enforcement building unit and integration test suites, GitHub Actions and Jenkins automated CI/CD pipelines, Kafka consumer service deployments, and SQL-optimized PostgreSQL query review standards delivering 45% throughput improvement. Designed AWS Lambda-driven data processing pipelines with DynamoDB-backed storage, Kafka event streaming, and Redis caching implementing Python ETL transformation workflows, Docker containerized consumer services, and automated data validation layers achieving 45% throughput improvement per client SLA. Delivered FastAPI async API services with PostgreSQL read-replica patterns, MySQL query optimization, and Redis session caching for high-traffic enterprise clients implementing OAuth2 client credential flows, JWT scoped access tokens, TDD test coverage reporting, and Jenkins pipeline automation achieving 99.5% production reliability. Led DevOps and CI/CD automation for multi-client enterprise deployments architecting Jenkins and GitHub Actions pipeline templates, Docker multi-stage build configurations, AWS ECS task scaling policies, and Flask service health monitoring supporting zero-downtime deployments across 10+ client environments. Managed Agile engineering sprints and Python code quality standards conducting structured Django and FastAPI code reviews, enforcing TDD practices, SQL query optimization sessions for PostgreSQL, Kafka consumer offset tuning, and performance profiling mentoring 8+ junior developers across client teams. Software Engineer / Python & Flask Developer | Iwis MSL Mar 2017 Apr 2019 Tech Stack: Python, Django, Flask, AWS (Lambda/S3/API Gateway/DynamoDB), PostgreSQL, MySQL, Docker, Git, Jenkins Developed Python Flask backend services for enterprise financial applications building REST API layers, SQL-optimized PostgreSQL and MySQL database architectures, TDD unit testing suites, and Python data access objects supporting 20K+ daily banking transactions. Built AWS Lambda automation systems for enterprise financial data pipelines implementing Python backend service handlers, DynamoDB data store integrations, Docker containerized deployments, Jenkins CI/CD pipelines, and PostgreSQL reporting queries achieving 99.5% pipeline reliability. Designed Django and Flask backend services with OAuth2 and JWT authentication for banking clients implementing role-based access controls, SQL-optimized MySQL and PostgreSQL query patterns, and Python session management layers meeting financial security compliance standards. Delivered cloud-integrated Python Flask applications with Jenkins CI/CD deployment pipelines implementing Docker containerization, AWS S3 integration for document storage, TDD automated test coverage, and API security controls achieving 99.5% production uptime. Established Python code quality and testing standards for financial domain projects conducting REST API code reviews, enforcing TDD unit testing frameworks, OAuth2 security audit reviews, and SQL query optimization for PostgreSQL and MySQL achieving 40% throughput improvement. Built DynamoDB-backed data services and AWS Lambda ETL automation for financial reporting pipelines implementing Python data transformation layers, Flask API wrappers, PostgreSQL data validation workflows, and automated monitoring achieving 99.5% data processing reliability. EDUCATION Master of Science Information Systems Cleveland State University, USA Bachelor of Engineering Electronics & Communication Jawaharlal Nehru Technological University, India Keywords: continuous integration continuous deployment quality analyst artificial intelligence sthree database Colorado