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Jagan R. AI, Cloud and Modern Frameworks

My name is Jagan R. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: TypeScript, React, Next.js, Artificial Intelligence, Retrieval Augmented Generation, etc.. I hold a degree in Master of Computer Science (MSCS), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: GitHub repository analyzer with GitHub MCP & Playwright MCP servers, Azure RAG Financial System, Retrieval-Augmented Generation(RAG) document parser, 7 Habits Agent Graph LangGraph-powered sandbox, Project Management App (Expo + Rails Backend), etc.. I am based in Bengaluru, India. I've successfully completed 7 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Cloud and Modern Frameworks

    5 years

  • TypeScript

    3 Years

  • React

    1 Year

  • Next.js

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Uniqus Consultech

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Experience Highlights

GitHub repository analyzer with GitHub MCP & Playwright MCP servers

A GitHub repository analyzer where GPT-4o-mini orchestrates GitHub MCP + Playwright MCP servers automatically. What it does: - GPT-4o-mini intelligently orchestrates multiple MCP servers - Fetches co

Azure RAG Financial System

Developed a production-ready Retrieval-Augmented Generation (RAG) pipeline on Azure for analyzing SEC EDGAR 10‑K filings from companies like Microsoft, Google, and NVIDIA. Built end-to-end ingestion a

Retrieval-Augmented Generation(RAG) document parser

Built a Flask web app that lets users run hybrid search (dense + sparse), rerank results, and generate context-aware answers with Gemini. Highlights: - Hybrid retrieval: Dense and sparse embeddings w

7 Habits Agent Graph LangGraph-powered sandbox

Sandbox for building, testing, and demoing agentic workflows with real tool use via MCP (Model Context Protocol). Ships both a terminal UI and a Flask web UI that enables natural‑language operations a

Project Management App (Expo + Rails Backend)

Developed a mobile-optimized Kanban board app using Expo React Native, seamlessly integrated with a custom Ruby on Rails backend. Delivered secure JWT authentication, multi-tenant company support, and

Education

  • Concordia University

    Master of Computer Science (MSCS) in

    2020-01-01-2021-01-01

  • M.S. Ramaiah Institute Of Technology

    Bachelor of Engineering (BEng) in

    2013-01-01-2017-01-01

Languages

  • English (Native or Bilingual)