About

ML Engineer building
production AI systems

I'd rather ship code than write about it. I build ML tools, break things in production, and occasionally publish papers to prove I'm not just hacking.

Currently finishing my B.Tech in Computer Science (AI & ML) at VIT Chennai, I've shipped production ML models at Sterling Software, built full-stack AI integrations at Red Augment, and published medical imaging research in Springer Nature.

My focus is on practical AI: building tools like doc-scraper (90+ stars) for LLM pipelines, creating AI-powered code review systems, and developing computer vision models for medical diagnostics.

I'm open to collaborative opportunities in AI research and engineering. If you're working on something interesting, let's talk.

Currently exploring: agentic AI

Experience

Backend API Developer

Red Augment, Singapore (Remote) • 2026 – Present

  • Built a full Shopify integration for WineSpeak.ai, syncing 1,000+ products across 3 wineries with catalog sync, cart management, and webhook-driven order processing.
  • Hardened integration modules by fixing a GraphQL injection, adding retry logic, and replacing non-atomic DB writes with safe upserts.

ML Engineer Intern

Sterling Software, Chennai • May – June 2025

  • Built production ML models (R² > 0.85) to predict API latency, deployed into live systems for real-time reliability monitoring.
  • Designed a Dask/Polars pipeline powering the company's first ML-driven anomaly detection system.

Education

B.Tech CS (AI & ML)

VIT Chennai, 2026

Research

2 papers on medical imaging AI

1 published in Springer Nature, 1 under peer review

Technologies

Languages

  • Python
  • Go
  • SQL

ML & AI

  • PyTorch
  • scikit-learn
  • CV
  • LLMs

Data

  • Dask
  • Polars
  • Pandas
  • PostgreSQL
  • MongoDB

Tools

  • Docker
  • FastAPI
  • Django
  • Git
  • Actions