Summary
Sushant Sundaresh is a senior software engineer with over a decade of experience building and shipping embedded algorithms, signal processing pipelines, and large-scale data collection systems for consumer wearables. At Google/Fitbit he led releases for hundreds of thousands of devices, owned algorithmic risk assessment for in-field hardware bugs, and stabilized next-gen smartwatch releases as a pragmatic generalist. Technically fluent in C/C++ and Python (PyTorch, NumPy, pandas) and experienced with low-level tooling (gdb, Linux, protobufs), he bridges hardware bring-up, simulator-driven development, and production reliability. He has a track record of turning messy, real-world signals into robust on-device features—detecting artifacts, relabeling historical data to fix feature drift, and designing portable biometric libraries. Trained at Caltech (M.S. EE) and UC Berkeley (B.S. Computational Bioengineering), he combines rigorous engineering with product-focused trade-off judgment and hands-on delivery.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Computational Bioengineering, EECS Minor, Bachelor of Science (B.S.), Computational Bioengineering, EECS Minor at University of California, Berkeley
California Institute of Technology