About

I’m a Software Engineer who operates across backend systems, data engineering, and applied AI with a bias toward building things that actually work in the real world, not just in notebooks. My background spans scalable API design, ETL pipelines and LLM-powered applications, and I've shipped production systems across startups, enterprise environments, and university research labs.

Most recently I've been working as a founding engineer at a stealth AI startup, designing backend architecture and embedding pipelines for an image-processing and product discovery platform from scratch. Before that, I spent time at Stony Brook University as both a researcher and Teaching Assistant, building AI-powered accessibility tools for visually impaired users and supporting 170+ students across Data Structures and Computing Ethics courses.

My industry foundation came from Accenture, where I engineered large-scale data pipelines, automated extraction across 2M+ unstructured records using NLP classifiers, and was recognized on the Wall of Fame with an early promotion through the TechLeap fast-track program within my first year.

I believe the best engineers never stop being learners. New concepts don't slow me down they pull me forward. That curiosity has taken me from data engineering into NLP, RAG systems, vector search and computer vision. I've also led a 500-person technical event as an ACM organizer, mentored engineers and students, and served as Secretary of my university's CS Graduate Student Organization because building strong communities matters as much as building strong systems.

Outside of work, I enjoy perfecting espresso, creating food videos and sketching UI ideas while relaxing with music.

SKILLS

Projects

Experience

Education

Blogs

A Tech Event in the South Bay

When AI experiments go wrong: lessons from real-world failures, data nightmares and the people fixing them.

Llama Lounge Agentic Hackathon

From Idea to Prototype: Building a Resume Agent at the Llama Lounge Hackathon

Contact