Summary
Sunny Chugh is a Senior Data Scientist with 10 years of experience blending photonics research and applied machine learning to accelerate product development and optimization. He holds a PhD in Photonics from City, University of London and was awarded a UK Global Talent Visa as a recognized potential leader and researcher by the Royal Society. Sunny has moved fluidly between research and industry—building TinyML solutions on ESP32-CAM, leading computer vision projects for biodiversity monitoring, and currently delivering data science at Mastercard. His toolbox spans Python, TensorFlow, PyTorch, OpenCV and embedded ML, and he has practical experience handling large-scale image datasets and production deployment. Notably, his doctoral work used ML to rapidly estimate photonic device properties, a niche capability that shortens design cycles and bridges optics with data-driven engineering.
10 years of coding experience
2 years of employment as a software developer
Naondegree, Self Driving Car Nanodegree, Naondegree, Self Driving Car Nanodegree at Udacity
Master of Engineering, Electrical, Electronics and Communications Engineering (Specialization - Photonics), Master of Engineering, Electrical, Electronics and Communications Engineering (Specialization - Photonics) at Thapar University
Doctor of Philosophy (Ph.D.), Photonics, Doctor of Philosophy (Ph.D.), Photonics at City, University of London