Photo of Vansh

hi vansh here. 👋

22yo ML Engineer from India 🇮🇳

ML Engineer by profession, problem solver by passion. I often self-host the apps I build.

For Q&A, raise a ticket with Vansh Support

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  • V

    Virtual Galaxy Infotech Ltd.

    Security Analyst

    • Building Vaani, a real-time multilingual conversational AI agent with per-turn language switching across Hindi, English, and Marathi. Custom Sarvam AI STT/TTS patches on LiveKit with a modular language pack architecture.
  • V

    Virtual Galaxy Infotech Ltd.

    Security Analyst Intern

    • Built a RAG legal drafting system: ingested 5,000+ judgments into PGVector, ran PDF → metadata → chunking → embeddings, and served hybrid retrieval (vector + PostgreSQL FTS) with petition-aware drafting via Streamlit.
    • Developed Windows/Linux DLP agents to monitor directories, clipboard, and PII; forwarded events in real time to a FastAPI backend with PostgreSQL, Redis, and OpenSearch for incident logging and policy actions.
  • P

    PreProd Corp

    Data Analyst Intern

    • Built an end-to-end MLOps pipeline for food demand forecasting (Kafka, DVC, MLflow, PySpark, Scikit-Learn).
    • Delivered demo projects for the Opensrc program using PySpark, RAG, GAN, MobileNet, Redis, and CouchDB.
    • Ran a 2-day buildathon at VIT Bhopal; built the AutoML MVP, mentored teams, and reviewed submissions.
    • Led 20 interns across 6 teams to ship 30+ demos; acted as Scrum Master and kept sprints on track.

projects

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Vaani·BudgetThing·Legal Drafting System·Data Loss Prevention·SSHThing·Sunshine Bot·Food Demand Forecasting·Calpred·CozyReader

featured

Vaani

Vaani

Real-time multilingual conversational AI agent built for Virtual Galaxy. Supports voice calls in Hindi, English, and Marathi with seamless mid-conversation language switching. Built on LiveKit Agents with custom Sarvam AI STT/TTS patches and a modular language pack architecture.

Bun
FastAPI
Gemini
LiveKit
Python
React
Sarvam AI
Vite
WebRTC
Source
BudgetThing

BudgetThing

An expense tracker and Splitwise-style trip splitter for iPhone. Built with Expo (React Native), Convex backend, and Clerk auth. Offline-first with real-time multi-device sync.

Clerk
Convex
Expo
React Native
SQLite
TypeScript
Source

technical skills

Python
NumPy
Pandas
TensorFlow
Docker
React
TypeScript
Next.js

and more:

recent posts

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