Summary
Chaitanya Patil is a Senior Software Engineer and machine learning practitioner with eight years of experience building signal processing and computer vision systems, currently based in Queensland, Australia. He holds an MS in Electrical Engineering from UC San Diego, where he focused on signal and image processing, and earlier developed radar algorithms that detect distance, speed, and angle in noisy environments with FPGA prototyping. At Decide he delivered production ML systems—ad selection/pricing models, JIT-compiled inference for low latency, and automated model-discovery pipelines—bridging research and high-performance deployment. His research at Scripps contributed to a published IoT audio-scene monitoring paper and involved building robust sensor data pipelines on GCP and MySQL. Comfortable across Python, deep learning, and signal-processing toolchains, he combines hands-on algorithm design with scalable engineering practices and a knack for turning academic ideas into product-ready systems. An underappreciated strength is his cross-domain fluency—able to move from FPGA-based radar experiments to cloud-based ML pipelines while owning both data plumbing and model evaluation.
8 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Sciences and Economics, Sciences and Economics at Rishi Valley School
BTech Electrical Engineering, BTech Electrical Engineering at Vishwakarma Institute Of Technology
Sahyadri School, KFI
English, Hindi, German