Summary
Deepthi Gorthi is a Senior Software Engineer with 11 years of experience specializing in the hardware-software integration of sensor systems, turning high-throughput raw sensor streams into refined data products for machine learning. With a PhD background in astrophysics from UC Berkeley and hands-on experience building FPGA and GPU-based DSP pipelines for large radio telescopes, she brings deep signal-processing expertise to real-world perception stacks. At Waymo she progressed from Lidar Systems engineer to senior engineer, applying scalable, low-latency processing techniques developed in astronomy to autonomous vehicle sensors. Her career blends rigorous research, production-grade C/C++ and FPGA work, and leadership in deploying complex pipelines at scale—skills that make her adept at bridging prototype research and robust production systems. An uncommon strength is her ability to optimize end-to-end throughput (e.g., multi-gigabit cross-correlation and polyphase filterbank implementations) while keeping models and downstream ML workflows fed with calibrated, high-quality inputs.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Astrophysics, Doctor of Philosophy - PhD Astrophysics at University of California, Berkeley
BITS Pilani, Birla Institute of Technology and Science
Hindi, English, Telugu