Sunita Nayak
Principal AI Data Scientist Artificial Intelligence Computer Vision
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolSunita Nayak is a Principal AI Data Scientist with a PhD in Computer Science and two decades of experience applying ML, NLP, computer vision and generative AI to real-world products across e-commerce, medical imaging, ID authentication, retail and sports. Based in San Diego, she builds and deploys production-scale models, having implemented distributed multi-GPU training pipelines that cut epoch runtime by ~60% and led cross-domain product development at Big Vision. Her work blends deep research—peer-reviewed publications and mentoring in Google Summer of Code for OpenCV—with hands-on engineering, exemplified by contributions to the widely used LearnOpenCV examples in C++/Python (alpha blending, CNN batch normalization). She mentors and coaches teams, translating academic rigor into practical, deployable systems, and has a track record of shipping consumer-facing computer vision features like virtual makeovers and hair-coloring deployed internationally.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science & Engineering, 3.91/4.0, Doctor of Philosophy (PhD), Computer Science & Engineering, 3.91/4.0 at University of South FloridaBachelor of Engineering - BE, Computer Science and Engineering, Bachelor of Engineering - BE, Computer Science and Engineering at National Institute of Technology Rourkela, India
Github Skills (9)
computer-vision10
opencv10
c-language10
cprogramming-language10
python10
machine-learning9
keras9
deep-learning8
ai8
Programming languages (3)
Github contributions (5)
spmallick/learnopencv
Apr 2017 - Mar 2020
Learn OpenCV : C++ and Python Examples
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:44 commits, 18 PRs in 3 years
Contributions summary:Sunita contributed to the Learn OpenCV repository, focusing on examples related to image processing, computer vision, and deep learning. They demonstrated proficiency in both C++ and Python by implementing alpha blending techniques using OpenCV. Additionally, the user worked on machine learning applications by including batch normalization in a CNN model for CIFAR10 dataset using Keras in Python.
opencv-librarypythondeep-learningopencv3computer-vision
sunitanyk/opencv_contrib
Sep 2019 - Sep 2019
Repository for OpenCV's extra modules
Contributions:12 pushes, 1 branch in 3 days
pythoncomputer-vision
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