Varun KSenior

Senior Python Generative AI Engineer at OPTUM

Designed and developed enterprise generative AI platforms using Python, FastAPI, LangChain, LangGraph, and AWS Bedrock for healthcare knowledge discovery, document intelligence, and workflow automation. Architected RAG solutions using OpenSearch Vector Engine/Pinecone and embeddings for accurate, context-aware responses. Built AI agents and multi-agent orchestration using LangGraph with governed tool-calling to integrate enterprise systems via APIs. Developed secure microservices exposing REST and GraphQL endpoints, implemented document processing with LLMs/NLP, and optimized vector retrieval using chunking, embedding/prompt tuning, and retrieval optimization. Implemented event-driven architectures with Kafka/SQS/SNS for workflow orchestration. Established AI governance, guardrails, evaluation pipelines, and observability using CloudWatch/Prometheus/Grafana/ELK/X-Ray.

Senior Python Full Stack & Generative AI Developer at T-MOBILE

Built enterprise AI-driven applications using Python, Django, FastAPI, and microservices for telecom analytics and customer service automation. Developed intelligent document processing and NLP-based applications for extraction, classification, and sentiment/categorization of customer interactions. Created predictive analytics for churn and forecasting, fraud detection, and recommendation engines for personalized offers. Implemented enterprise search/knowledge discovery, built REST APIs/microservices for analytics and ML capabilities, and engineered data pipelines using AWS Glue/Spark/Pandas/S3. Deployed ML models (SageMaker, TensorFlow, scikit-learn) for real-time prediction, and implemented event-driven workflows using SQS/SNS/Lambda. Delivered CI/CD and monitoring with Jenkins and CloudWatch/Grafana.

Python Full Stack Developer at FIDELITY INVESTMENT

Developed wealth management applications using Python, Django REST Framework, React.js, and microservices for portfolio management, advisory, trading operations, and client reporting. Built secure REST APIs with OAuth 2.0 and JWT authentication. Containerized and deployed microservices using Docker and Kubernetes on AWS. Developed advisor-facing web UI with React/TypeScript/Redux and implemented event-driven services using Kafka/RabbitMQ. Built market data ingestion/processing pipelines with Pandas/PostgreSQL/AWS services, improved performance using Redis caching and SQL tuning, and delivered ML-based portfolio risk and segmentation solutions. Implemented infrastructure-as-code with Terraform, automated testing, and monitoring via CloudWatch/Grafana/ELK; automated releases with Jenkins/CodePipeline/Git.

Python Developer at KROGER

Maintained enterprise inventory management and retail operations applications using Python, Django, and Django REST Framework. Designed scalable ETL/data ingestion workflows for high-volume sales and inventory data, and built backend services to synchronize inventory updates, catalogs, pricing, and transactions. Developed REST APIs enabling integration across inventory, billing, reporting, and operational systems; optimized MySQL/PostgreSQL performance via tuning/indexing/stored procedures. Automated replenishment and stock management using business rules and thresholds. Built reporting/analytics modules with Python/SQL/Pandas, implemented data validation and operational logging/monitoring, and created test suites using Python testing frameworks and CI integration. Deployed applications on AWS EC2/S3 and supported releases with Jenkins/Git/Docker.