Trisha Mittal

Sr. Researcher at Dolby Laboratories

Sunnyvale, California, United States
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Summary

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Senior
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Trisha Mittal is a senior researcher and computer vision specialist with a decade of experience bridging academic rigor and industry impact, currently driving research at Dolby Laboratories after roles as a senior CV research engineer and multiple research internships at Apple and Adobe. She completed a PhD in Computer Science at the University of Maryland following integrated M.Tech training at IIIT-B, and has worked on interdisciplinary problems spanning machine teaching, inverse reinforcement learning, multimedia systems, and human-centered sketch recognition. Her career blends deep research—evidenced by visiting fellowships at Max Planck—and practical ML deployment in product-focused labs, enabling rapid translation of novel algorithms into real-world applications. Based in Sunnyvale, she pairs strong formal training with hands-on experimentation, often tackling how humans and machines perceive and generate visual content. An approachable researcher, she maintains a public portfolio (trishamittal.github.io) that highlights both technical depth and creative problem framing.
code10 years of coding experience
job2 years of employment as a software developer
bookiMTech (Integrated M.Tech in Information Technology), iMTech (Integrated M.Tech in Information Technology) at International Institute of Information Technology Bangalore
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Maryland
bookApeejay School NOIDA
bookSardar Patel Vidyalaya, New Delhi
languagesEnglish, Hindi
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Github Skills (13)

arxiv9
computer-vision8
deep-reinforcement-learning8
image-processing8
reinforcement-learning7
image7
deep-learning6
python6
tensorflow5
machine-learning5
pytorch5
hardware3
intel3

Programming languages (2)

RPython

Github contributions (5)

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BardOfCodes/DRL_in_CV

Aug 2017 - Nov 2017

Contributions:53 commits, 7 PRs, 49 pushes in 3 months
visiondeep-learningvisitreinforcement-learningcomputer-vision
To classify StumbleUpon content (webpages and media) as evergreen or ephemeral
Contributions:1 PR, 4 pushes, 1 branch in 6 years 8 months
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Trisha Mittal - Sr. Researcher at Dolby Laboratories