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.
// try the konami code
After finishing my B.Tech in Computer Science (AI & ML) at VIT Chennai, I'm now pursuing a Master of AI at RMIT in Melbourne. Along the way I've shipped production ML models at Sterling Software, built LLM-powered commerce integrations at Red Augment, and published medical imaging research in Springer Nature.
My focus is on practical AI: building tools like doc-scraper (99+ 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) • Feb – Jul 2026
- Built the subscription commerce stack for WineSpeak.ai, an LLM-powered winery chatbot, integrating Shopify, Awtomic, and WineHub across winery deployments with catalog sync, cart-via-chat, checkout, and subscription management.
- Reduced chatbot response latency by migrating the Django backend to native async, merging redundant LLM calls, batching database writes, and parallelizing subscription fetches (about 2.3x faster on the member-portal path).
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
Master of Artificial Intelligence
RMIT University, 2026 – 2028
B.Tech CS (AI & ML)
VIT Chennai, 2026
Research
2 research papers
Medical imaging published in Signal, Image and Video Processing (Springer Nature); computer networks under review at IEEE Access
Technologies
Languages
- Python
- Go
- SQL
ML & AI
- PyTorch
- scikit-learn
- CV
- LLMs
Data
- Dask
- Polars
- Pandas
- PostgreSQL
- MongoDB
Tools
- Docker
- FastAPI
- Django
- Git
- Actions