Aditya Vora

PhD Candidate

Burnaby, British Columbia, Canada
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Summary

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Senior
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Top School
Aditya Vora is a PhD candidate in Computer Science at Simon Fraser University with a decade of experience building and deploying machine learning and computer vision systems across industry and research. He has held applied scientist internships at Amazon focused on cutting-edge multimodal LLMs and multi-view video generation for 3D articulation, and previously delivered deep learning solutions at Honeywell and Johnson Controls for aerospace, building technologies, and safety systems. Comfortable spanning research and production, he designs end-to-end ML pipelines—from model architecture and training to real-world evaluation and deployment. His background in electrical and electronic engineering, combined with an MTech from IIT Gandhinagar, gives him a strong foundation in both hardware-adjacent signal problems and advanced AI. Colleagues describe him as someone who translates theoretical ideas into practical systems that solve industry-scale problems.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at Indian Institute of Technology Gandhinagar
bookBachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at Birla Vishvakarma Mahavidyalaya
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Simon Fraser University
languagesChinese, English
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Github Skills (43)

convolutional-neural-networks10
detector10
deep-learning10
computer-vision10
faster-rcnn10
geometry9
neural-rendering9
python9
machine-learning9
tensorflow9
structure-from-motion9
volume-rendering8
colmap8
radiance8
mvs8

Programming languages (4)

C++LuaJupyter NotebookPython

Github contributions (5)

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Code for FCHD - A fast and accurate head detector
Contributions:12 commits, 14 pushes, 3 branches in 2 years 9 months
pythondeep-learningcrowd-countinghead-detectioncomputer-vision
Contributions:6 commits, 5 pushes, 1 branch in 1 year 4 months
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