I help companies build production ML systems: RAG pipelines, fraud detection, ML infrastructure. PhD in Physics. 5+ years shipping ML at startups.
I'm Sid Abhinav. I run DeepStack Labs, a consulting practice focused on AI/ML systems.
With a PhD in Physics from the University of Florida and 5+ years building ML systems at startups, I've worked across fraud detection, telematics, and RAG/retrieval systems. I've shipped production models that process millions of transactions and built retrieval pipelines that power AI applications.
I work directly with teams. No layers of project managers or junior engineers. Whether you need help architecting an ML system, optimizing an existing pipeline, or just want to talk through your AI strategy, I'm happy to chat.
University of Florida
Startups & production systems
From research to production
Real work I've done. For full details, see my LinkedIn.
Built ML systems for fintech applications that process high-volume transaction data.
Optimized retrieval-augmented generation systems for AI applications.
Production MLOps, model serving, and data pipeline architecture.
Whether you need help with an ML project or are looking to add an experienced engineer to your team, I'd love to hear from you.