Summary
Abraham Jose is a Senior AI Software Engineer based in San Francisco with eight years of experience building and deploying computer vision systems from research prototypes to production on embedded platforms like NVIDIA Jetson and Raspberry Pi. He holds an MS in Computer Science from UCF with hands-on research in video surveillance and temporal image analysis, and has a strong signal-processing foundation from his ECE undergraduate studies. Abraham has led end-to-end projects—designing multi-view ergonomic risk assessment systems, reducing false positives through novel background-sampling methods, and optimizing inference with ONNX/TensorRT and DeepStream to increase throughput. Comfortable moving between Python research code and C++ deployment, he combines model development (PyTorch, TensorFlow, Detectron2) with practical engineering skills in pipeline automation, logging, and multi-processing. A lifelong visual thinker who describes himself as a late talker, he brings sustained curiosity about perception that translates into creative approaches to reducing annotation effort and suppressing background noise in real-world imagery.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering, Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering at TKM College of Engineering , Kollam
Foundation degree Machine Learning & Deep Learning: Hands-On Python In Data Science, Foundation degree Machine Learning & Deep Learning: Hands-On Python In Data Science at Udemy Alumni
Deep Learning For Coders Part 1 and 2, Deep Learning For Coders Part 1 and 2 at fast.ai
Master's degree Computer Science, Master's degree Computer Science at University of Central Florida
English, Malayalam