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vneogi199/README.md

Vinit Neogi

I'm a Lead Software Engineer at Morgan Stanley with 8+ years in financial software, including client-facing modernization for US and EMEA users. My current focus is Python, FastAPI, React and TypeScript. I build financial applications, internal developer platforms and applied AI tools.

Based in Mumbai, India, I'm open to employer-supported relocation to Germany, the Netherlands, the UK, Singapore, Dubai and the wider UAE, and elsewhere in Europe.

Portfolio · LinkedIn · Stack Overflow

Recent work

  • Built a Python, PostgreSQL and React publish/subscribe configuration system that cut update turnaround from two working days to the same day. I also own release controls, developer adoption and operational support across 4 teams.
  • Conceived, built and deployed a Visual Studio Code RAG assistant using Python, OpenAI models, LangChain, FAISS and internal documentation. Used in production by 30+ internal developers, it now answers library questions that previously required my support. Users reported less manual coding.
  • Built a React, FastAPI and PostgreSQL risk-monitoring application that helped reduce limit breaches by 17% compared with the previous system. Consolidated data from 4 financial systems with Python, Pandas and NumPy so senior management could track risk in one place.
  • Designed and built a React 18/Angular 17 component library used across 600+ internal applications, owning API design, releases, versioning and migration support in a monorepo with over one million lines of code.
  • Earlier, built the library's Angular 14 layer with reusable components, services and libraries, unit tests and Storybook examples. Supported UMD, CommonJS (CJS) and ES module (MJS) outputs and helped four downstream library users adopt it.
  • Reduced annual compute and storage costs by 22% by moving VPS deployments from an NFS shared drive to Docker containers in a cloud environment with resource scaling.
  • Lead and mentor 6 full-stack developers across delivery, architecture, testing and deployment.

More detail on this work is in my portfolio. The public projects below cover personal and internship work.

Technologies I use

  • Python, FastAPI, TypeScript, React, SQL and PostgreSQL
  • OpenAI APIs, RAG, LangChain and FAISS
  • Docker, Jenkins, GitHub Enterprise Cloud, Vite, Nx and Storybook
  • Platform configuration, publish/subscribe, release controls and developer tooling

Merged open-source contributions

Selected merged contributions to Nx/Vite:

Public projects

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  1. Air-Quality-Index-Prediction-using-Python Air-Quality-Index-Prediction-using-Python Public

    Webapp to predict the Air Quality Index of a region given climate conditions.

    HTML 61 34

  2. Phishing-detection-using-data-mining-Python Phishing-detection-using-data-mining-Python Public

    A Chrome Extension that detects Phishing Websites and alerts the user regarding the same.

    JavaScript 11 2

  3. ExTra-ExpenseTracker ExTra-ExpenseTracker Public

    'ExTra - Expense Tracker' will allow us to view the things we spend the most money on. It will detect the user’s spending patterns. It can also detect some unnecessary expenses (such as street food…

    Kotlin 3 1