About Me

I'm a Software Engineer with ~3 YOE at Apple and current research at NYU's CILVR Lab (Adv. Prof Lerrel Pinto). I build ML systems end-to-end: from model design to production deployment and I'm equally comfortable going deep on algorithms or on the systems that run them.

What I Build/ have built:
I've shipped NLP classifiers to 40M+ users across four iOS releases, built learned image compression systems that cut latency in production, and optimized data pipelines that moved millions of devices. Now I'm applying that same thinking to research; building multimodal learning systems that fuse heterogeneous sensory data to train models that generalize beyond controlled settings.

How I Work:
I build Software/ML systems with an engineer's rigor: I care about how data flows, where latency hides, and what it takes to go from a model that works in a notebook to one that works in the world.
I've learned to move fast, prototype first, iterate on what's real, and not wait for perfect data or a large infra team to start building. Research and engineering aren't separate modes for me, they're the same loop running at different speeds.

Interests:
Production ML, LLM-powered and agentic AI workflows, multimodal perception, iOS and mobile platforms.

Education:
Master's in Computer Science, NYU Tandon (May'26).
Bachelor's in CS, NIT Surathkal, Karnataka.