Pooja Venkatesan

Senior System Software Engineer at NVIDIA

Chennai, Tamil Nadu, India
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Summary

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Senior
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Top School
Pooja Venkatesan is a Senior System Software Engineer with 9 years of specialized experience in video codec development, currently working on NVIDIA’s Jetson platform. She has deep hands-on expertise in x265, VMAF, and low-level C/C++ systems, having contributed niche encoder algorithms like hierarchical motion estimation and histogram-based scene cut detection. Her background includes integrating hardware decoders into FFmpeg/GStreamer pipelines and building batch-decoding frameworks for downstream inference, showing strength across encode/decode and real-time processing stacks. As an early contributor to VMAF temporal metrics, she improved perceptual quality correlation by nearly 9%, reflecting a data-driven approach to video quality. Based in Chennai, she blends academic foundations in computer science with practical open-source impact and GPU-targeted systems work.
code9 years of coding experience
job6 years of employment as a software developer
book12th Computer Science, 12th Computer Science at DAV School, Gopalapuram
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at R.M.K Engineering College
bookKendriya Vidyalaya Sangathan
languagesEnglish, Tamil, Hindi
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Stackoverflow

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Github Skills (8)

video-quality9
fusion9
perceptual9
feature-detection8
pytorch6
video-processing6
machine-learning6
python3

Programming languages (2)

C++Python

Github contributions (5)

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v-pooja/programs

Aug 2016 - May 2017

Contributions:2 PRs, 31 pushes, 2 branches in 8 months
java
v-pooja/vmaf_modified

Feb 2018 - May 2018

Contributions:38 pushes, 1 branch in 3 months
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