Summary
Bhavan Jasani is an Applied Scientist at Amazon AWS AI Labs specializing in computer vision and video understanding, with eight years of experience bridging research and production in industry-scale systems. He develops vision solutions for Amazon Rekognition & Video and previously built multimodal (video+audio) facial expression recognition systems at Carnegie Mellon, extracting 3D facial landmarks, head/body pose and action units for temporal behavior analysis. His background includes hardware-efficient object detection and FPGA/ASIC acceleration work at Nanyang Technological University, where he cut resource use significantly, and early chip-design verification tooling at Texas Instruments. Comfortable moving projects from prototype to deployment, he combines strong academic training in robotics (CMU MS, 3.95 GPA) and physics/EE dual degrees with a pragmatic focus on real-time, resource-constrained vision applications. An often-overlooked strength is his cross-domain fluency—spanning embedded hardware, signal processing and deep learning—which helps him optimize systems end-to-end for latency and accuracy.
8 years of coding experience
2 years of employment as a software developer
Dual Degree, MSc. (Hons.) Physics + B.E. (Hons.) Electrical & Electronics Engineering, 9.32 / 10, Dual Degree, MSc. (Hons.) Physics + B.E. (Hons.) Electrical & Electronics Engineering, 9.32 / 10 at Birla Institute of Technology and Science, Pilani KK Birla Goa Campus
Master Of Science in Robotics, Computer Science, 3.95, Master Of Science in Robotics, Computer Science, 3.95 at Carnegie Mellon University
English, Gujarati, Hindi