About
I've been the only AI engineer in the room twice, and both times, I shipped. At SpeedLegal and Uncouple.AI, I built ML infrastructure from scratch for San Francisco startups where there was no senior AI engineer to ask, no playbook to follow, and real users depending on what I pushed. That context forced me to get good at the full stack of ML work: designing RAG pipelines, wiring together LLM orchestration with LangChain, standing up serverless infrastructure on AWS, and keeping things running in production without breaking at 2 am. The problems I care about are the messy ones where raw model accuracy isn't enough, and the system architecture around the model is what actually determines whether it works. I rebuilt a broken document processing pipeline that was failing constantly into an event-driven flow, handling 23 legal document types with 85% fewer errors. I cut a startup's cloud bill by 92% without touching the product. These weren't research wins, they were production wins. On the competition side, I placed 11th in the Amazon ML Challenge 2025 and hold a Silver Medal on Kaggle's PhysioNet ECG digitization challenge, which I find genuinely interesting because it sits at the edge of what models can reliably do. My technical home is Python, but I'm equally comfortable in Go when throughput matters, and I've shipped frontend dashboards in Next.js when the team needed it. I don't treat the ML/engineering boundary as a wall. Right now, I'm looking for ML Engineer, Data Scientist, or Founding Engineer roles with internships included at the right company where the problems are hard, and ownership is real. If that sounds like your team, reach me at rudrpsingh@pm.me or connect here on LinkedIn.
Work experience
Software Engineer & Researcher at Ikeloa, May 2026 - Present · 5 mos, Bengaluru, Karnataka, India
Managing Director at The Finance and Economics Society of NSUT, Sep 2025 - Present · 1 yr 1 mo, New Delhi, Delhi, India · Hybrid
AI Software Developer at Stealth AI Startup, Aug 2025 - Mar 2026 · 8 mos, San Francisco, California, United States
Vice President at Google DSC NSUT, Aug 2025 - Oct 2025 · 3 mos, New Delhi, Delhi, India
Founding Engineer (ML Infrastructure) at SpeedLegal, May 2025 - Aug 2025 · 4 mos, San Francisco Bay Area
Junior Software Developer (ML & DevOps) at SpeedLegal, Dec 2024 - Jun 2025 · 7 mos, Remote, Machine Learning and DevOps
ML Department Mentor at Google DSC NSUT, Sep 2024 - Aug 2025 · 1 yr, Hybrid
Machine Learning Intern at SpeedLegal, Sep 2024 - Dec 2024 · 4 mos, Remote
Executive Committee Member at The Finance and Economics Society of NSUT, Jul 2024 - Sep 2025 · 1 yr 3 mos, New Delhi, Delhi, India · Hybrid
Member at Google DSC NSUT, Nov 2023 - Sep 2024 · 11 mos, Hybrid, Machine Learning Department
