Senior Full Stack & AI Engineer at Microsoft

Architected and led production Agentic MCP in Python to orchestrate tools, handle API calls, perform secure database operations, and support advanced RAG features (HyDE, Query Decomposition, Weighted Transformation, Text-to-SQL), serving 50k+ daily agent interactions at 200ms P95 latency with 99.99% uptime. Enabled autonomous multi-step reasoning and tool orchestration for workflow automation. Improved search performance by 80% via query tuning and API optimizations. Directed LoRA fine-tuning pipelines (Azure Foundry, PyTorch, ONNX) and deployed scalable AI models. Implemented FastAPI services with Azure SQL, MongoDB, Redis caching; integrated Kafka for event-driven communication. Established AKS with Terraform and GitOps. Delivered full-stack observability (Prometheus, OpenTelemetry, Jaeger) and testing culture (pytest, Playwright, chaos).

Full Stack Developer at Microsoft

Implemented ReactJS and Redux to create scalable front-end components; contributed to testing strategies (Jasmine, Karma, Protractor) and End-to-End validation; migrated RESTful APIs and integrated Spring Security for production-grade back-end services; built data visualization and monitoring dashboards; contributed to front-end architecture and performance improvements.

Backend Engineer II at Rally Health

Refined Proton CLI tool to accelerate service creation and updates, achieving higher developer velocity. Built Archimedes dependency tracker to reduce build failures and improve stability. Enhanced back-end systems with async programming, increasing concurrency and overall performance by 3.5x. Built advanced dashboards in React/Angular to visualize product analytics. Engineered an ASP.NET backend for real-time monitoring, reducing investigation time by 60%. Integrated AWS S3/Lambda/Aurora, SaltStack, Kubernetes, and CI/CD pipelines for scalable deployments.