Anjandeep Sahni is a Senior Computer Vision Engineer with 8 years of experience applying deep learning and vision systems to autonomous driving and industrial automation, currently leading path perception projects at NVIDIA. He combines hands-on algorithm design (path detection, temporal fusion, RetinaNet/SSD implementations) with building scalable ML infrastructure and KPI pipelines tied to in-car testing. His background in embedded firmware and SoC-level optimizations at Texas Instruments informs a practical, performance-first approach to real-time perception. At Carnegie Mellon he improved retail object detection accuracy and multi-GPU throughput, showing a knack for production-focused research. Known for clear cross-functional communication, he bridges research, engineering, and hardware constraints to ship robust, safety-critical systems.
8 years of coding experience
7 years of employment as a software developer
ICSE - Indian Certificate of Secondary Education Science, ICSE - Indian Certificate of Secondary Education Science at St. George's College, Mussoorie
CBSE- Central Board of Secondary Education Science, CBSE- Central Board of Secondary Education Science at Mount St. Mary's School, Delhi
Bachelor of Engineering (B.E.) Electrical Engineering, Bachelor of Engineering (B.E.) Electrical Engineering at Punjab Engineering College
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University
Contributions:4 releases, 115 commits, 26 PRs in 6 months
pytorchpythonpypipiptorch
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Anjandeep Sahni - Senior Computer Vision Engineer at NVIDIA