Adheesh Chatterjee
Machine Learning Engineer - Computer Vision at Apple
San Francisco Bay Area United States
Summary
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Top SchoolAdheesh Chatterjee is a Machine Learning Engineer specializing in production deployment of foundation models and computer vision systems, currently working on CV at Apple with eight years of applied experience. He has built end-to-end 2D/3D perception stacks—from multi-sensor calibration and SLAM front-ends to on-device object detection and segmentation—delivering robustness improvements for mobile and robotics customers. At startups and research labs he shipped practical solutions such as shelf quantification with YOLOv8 and adversarial-aware detection evaluations using Grounding-DINO, CLIP, and DeepEMD. His background blends MEng robotics training with hands-on robotics and reinforcement learning research, including multi-agent exploration and decentralized drone coordination. Adheesh often bridges research and product needs by finetuning foundation models for domain adaptation and deploying them across edge and cloud platforms. Based in the San Francisco Bay Area, he brings a robotics-first mindset to scalable ML engineering and a knack for turning complex sensor pipelines into reliable production features.
7 years of coding experience
4 years of employment as a software developer
Bachelors of Technology Mechanical Engineering, Bachelors of Technology Mechanical Engineering at Vellore Institute of TechnologyMaster of Engineering - MEng Robotics, Master of Engineering - MEng Robotics at University of Maryland
English, Hindi, Arabic, French, Bengali
Github Skills (12)
point-cloud9
pcl9
cpp8
computer-vision8
ply8
point-cloud-library6
surface5
agent3
multi-agent3
machine-learning3
collision3
reinforcement-learning2
Programming languages (2)
Github contributions (5)
adheeshc/Motion-Planning-Algorithms
Mar 2020 - Mar 2020
Contributions:52 commits, 31 pushes, 1 branch in 19 days
adheeshc/adheeshc.github.io
Jan 2020 - Apr 2024
Contributions:62 pushes, 1 branch in 4 years 4 months
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