Monisha Jaganathan

About Monisha Jaganathan

With 9+ years of experience delivering scalable ML, NLP, and AI solutions across…

Experience

1. Ai Engineer

   NVIDIA

   Nov 2023 — Present

   Contributed to the HGX Platform, an AI-native orchestration system designed to deploy and manage LLMs like GPT-4 and LLaMA 3.3 across multi-cloud environments. I led the design and deployment of agentic AI architectures using LangGraph and LangChain, integrating planning, memory, and tool use through the Model Context Protocol (MCP) to enable secure, reusable enterprise workflows. I built scalable RAG pipelines and end-to-end LangChain workflows with FAISS, Pinecone, and LLaMA, while developing FastAPI microservices deployed via AWS Lambda, GCP Cloud Run, and Kubernetes. I orchestrated hybrid inference with NVIDIA Triton, SageMaker, and Vertex AI, and implemented CI/CD pipelines using GitHub Actions, Terraform, and MLflow. My work included integrating semantic search, prompt engineering, performance benchmarking, and observability via OpenTelemetry—delivering production-grade, explainable GenAI systems with 95%+ uptime and reduced LLM integration time by over 50%.

Education

• George Mason University

  Master of Science - MS, Data Analytics Engineering

• Anna University Chennai

  Bachelor of Engineering , computer science

  2012 — 2016