Summary
Sandeep Chahal is a data scientist with 9 years of experience building production-ready AI systems across fraud detection, computer vision, and robotics. He excels at moving projects from research and experimentation to scalable deployment, having delivered fraud models and LLM-powered assistants at Sift and video-based player tracking, court segmentation, and OCR pipelines at Stats Perform. Trained in intelligent systems (M.S., UT Arlington), his background in adaptive motion planning and hands-on robotics integration gives him a systems-thinking edge when designing end-to-end ML pipelines and evaluation frameworks. He’s comfortable across the stack—from sensor fusion and CV tooling to model evaluation and ML testing infrastructure—helping teams ship reliably and measure business impact. Now based in Chicago and currently at Oscilar, he thrives where applied research, product focus, and engineering intersect. Outside of AI he intentionally explores unrelated domains to stay curious and bring fresh perspectives to problem solving.
9 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science (Intelligent Systems), Master's degree Computer Science (Intelligent Systems) at The University of Texas at Arlington
Jawaharlal Nehru Technological University Hyderabad
English, Hindi, Punjabi, Telugu