Software Engineer, Annapurna Labs, ML Accelerator Embedded Firmware
Austin, Texas Metropolitan Area United States
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Summary
👤
Senior
🎓
Top School
Dashiell Kosaka is a software and systems engineer with eight years of experience specializing in embedded firmware, radar signal processing, and ML-driven perception systems. Currently at AWS Annapurna Labs, he brings deep expertise in optimizing algorithms for constrained hardware—skills honed building interference mitigation, tracking, and sensor-fusion features at Uhnder after his startup PreSense was acquired. He co-created OpenRadar, an open-source mmWave radar toolkit used by researchers worldwide, and has a track record of turning MATLAB/Python prototypes into high-performance C++/CUDA implementations. His background spans remote sensing and satellite imagery ML at NCSA to full-stack embedded development, giving him rare end-to-end fluency from low-level drivers to deep learning models. Notably, his interference mitigation work restored over 20 dB SNR on targets and scaled automated CI/CD testing to reduce manual effort fivefold. Outside work he channels his curiosity into bouldering, dancing, and studying Japanese while prototyping new ideas on personal projects.
An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars
Role in this project:
Data Scientist / ML Engineer
Contributions:16 commits, 6 PRs, 14 pushes in 2 months
Contributions summary:Dashiell primarily contributes to the development and improvement of mmWave radar data processing algorithms and associated tools. Their commits include updates to CFAR algorithms, demonstrating a focus on object detection techniques. Further contributions show work in angle estimation (Capon beamforming), and other related processing steps.
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