Summary
Asish Chakrapani is a Software Development Engineer II at AWS in Seattle with eight years of experience building production-grade distributed systems and ML-driven computer vision solutions. A Carnegie Mellon ECE graduate, he transitioned research in stereo vision and efficient deep models (notably PSMNet-IR with substantial parameter, memory, and inference improvements) into deployment on edge platforms like NVIDIA Jetson and now works on Redshift Control Plane concurrency scaling. He blends hands-on systems engineering with academic rigor—having designed datasets, calibration pipelines, and new loss functions for noisy labels—bringing both performance optimization and practical deployment experience. Comfortable across cloud services, embedded inference, and algorithm development, he has a track record of squeezing resource budgets while preserving or improving accuracy.
8 years of coding experience
2 years of employment as a software developer
High School, Science, 10, High School, Science, 10 at SRDF Vivekananda Vidyalaya, Chennai
High Shool, Science, High School, High Shool, Science, High School at SV Vivekananda Vidyalaya
Master's degree, Electrical and Computer Engineering, 3.8/4.0, Master's degree, Electrical and Computer Engineering, 3.8/4.0 at Carnegie Mellon University
Bachelor of Technology (BTech), Electrical, Electronics and Communications Engineering, Bachelor of Technology (BTech), Electrical, Electronics and Communications Engineering at Manipal University Jaipur
English, Hindi, Tamil, Telugu