Florham Park, New Jersey, United States
• Architected production-grade Agentic AI workflows (full stack) and RAG systems using Python, LangChain/LangGraph, LLMs, and Vector databases, improving task orchestration efficiency by 40% and deploying A2A-compliant agents.
• Developed and integrated MCP servers to expose enterprise tools (databases, APIs, internal services) as standardized context sources for LLM agents, streamlining multi-tool orchestration and reducing agent integration time by 60%.
• Engineered a low-code React.js/Python UI with full RESTful CRUD for real-time agentic pipelines, accelerating predictive analytics and chatbot deployments by 50% while ensuring end-to-end reliability.
• Deployed highly available microservices to Google Cloud Platform, leveraging Cloud Run, Cloud SQL, and integrated Load Balancers, achieving 99% uptime and reducing API response latency by 30%.
• Improved backend and database performance by optimizing complex SQL queries and building scalable data solutions across PostgreSQL, Redis, and Google Cloud SQL, resulting in faster response times and more reliable production systems.
• Directed end-to-end Agile releases utilizing automated QA regression and canary deployments, successfully raising SRE scores to 90% and delivering 40% faster releases with zero feature rollbacks.