About

I am Rasik Jain, a software engineer based in New Jersey. I build Generative AI applications, with a focus on Agentic AI and RAG, and I work across the full stack to get them into production.

For the past couple of years I have been building AI agents, multi-agent systems, agentic RAG pipelines, and natural language search with LangChain, LangGraph, MCP, and vector databases like Pinecone and ChromaDB, using LLMs from OpenAI, Anthropic, and Google Gemini. I write most of my AI code in Python and build APIs with FastAPI. For the user interface I use React, Next.js, and TypeScript, and I deploy on AWS and Azure.

At my current job I lead GenAI work on an enterprise analytics platform. I built an agentic RAG system that lets analysts ask questions about complex data in plain English instead of waiting on manual reports. This included the document chunking and embedding pipelines, the semantic retrieval, the multi-step agentic workflows with tool calling, and the UI analysts use daily.

Most of my effort goes into making GenAI features reliable in production. That means careful context engineering, structured outputs the rest of the system can trust, LLM evals and tracing with LangSmith, clean APIs between the model and the UI, and proper security.

Experience

I have been in the industry for over 15 years, working with companies like JPMorgan Chase, American Express, Deloitte, McKinsey, and Medidata, across fintech, healthcare, and SaaS. Most of those years were spent building systems in .NET and C#, and later in Node.js and React. That background shaped how I approach AI work today, with a focus on testing, monitoring, and simple code.

I currently lead a small engineering team, and I enjoy code reviews and helping engineers grow.

I hold a master’s degree from Florida International University and am an AWS Certified Solutions Architect – Associate.

Outside of Work

I follow technical blogs and Hacker News to keep up with new tools. I also enjoy travel and spending time with my family.

Skills

Generative AI

  • Agentic AI, AI Agents, Multi-Agent Systems
  • Agentic RAG
  • LangChain, LangGraph
  • LLMs (OpenAI, Anthropic, Gemini)
  • MCP, Tool Calling, Structured Outputs
  • Context Engineering, Prompt Engineering, Embeddings
  • Vector DBs (Pinecone, ChromaDB)
  • LLM Evals, LangSmith

Languages

  • Python (Pydantic)
  • TypeScript
  • JavaScript
  • C#

Backend

  • FastAPI
  • Node.js, Express
  • ASP.NET Core
  • RESTful APIs

Frontend

  • React
  • Next.js
  • Tailwind CSS

Cloud & DevOps

  • AWS
  • Azure
  • Docker
  • GitHub Actions

Databases

  • PostgreSQL
  • MongoDB
  • Redis
  • SQL Server

Get in Touch

If you need help with consulting or contract work, or are hiring for a full-time GenAI role, I would be glad to talk.