Debapriya Maji
Machine Learning Engineer at Google
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolDebapriya Maji is a machine learning engineer with eight years of experience building efficient computer vision solutions for edge and ADAS platforms. After earning a B.Tech from IIT Kharagpur, he transitioned from analog engineering into vision-focused ML at Texas Instruments, honing low-complexity algorithms for the Jacinto platform. He later applied that edge expertise at Qualcomm and now works at Google, bringing practical production experience across chip-constrained environments. Known for optimizing models for real-time automotive use cases, he combines deep hardware awareness with applied ML to deliver robust, resource-efficient vision systems. Based in Bengaluru, he thrives at the intersection of embedded systems and computer vision, translating research ideas into deployable edge solutions.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at Indian Institute of Technology, Kharagpur
English, Bengali
Github Skills (71)
yolov510
object-detection10
tensorrt10
onnx9
python9
tflite9
deep-learning9
coreml9
ios9
pytorch9
openvino9
machine-learning9
tensorflow9
ncnn9
computer-vision8
Programming languages (3)
Github contributions (5)
TexasInstruments/edgeai-yolox
Sep 2021 - Mar 2022
YOLOX-ti-lite models are optimized for deployment on TI edge processors
Contributions:25 commits, 4 pushes in 5 months
ncnntensorflowmegengineobject-detectioncomputer-vision
debapriyamaji/onnxruntime
Sep 2021 - Sep 2021
ONNX Runtime: cross-platform, high performance scoring engine for ML models
Contributions:1 push in 1 day
pytorchml-modelsscoringdeep-learningruntime
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