Summary
Akshay Badola is an Associate Research Scientist with eight years of experience bridging interpretable deep learning, language models, and computer vision, currently researching ethical and fair AI for educational assessment at ETS. He holds a PhD in Machine Learning and Vision from the University of Hyderabad and has practical exposure to robotics research, ML engineering, and consulting on computer vision and software architecture for startups. Comfortable across systems and software stacks, he conducts research in Python/PyTorch, tinkers with Emacs Lisp for metaprogramming, and has built React frontends for pet projects and ML tooling. Akshay combines strong foundations in statistics, inference, and systems administration with a persistent interest in formalism—exploring Haskell and higher-order logic programming beyond mainstream connectionist approaches. He’s motivated by the interplay between data, symbols, and knowledge, and skeptical about overhyped claims, anticipating future shifts that reveal limits of current neural models. Based in Hyderabad, India, he blends academic rigor with hands-on engineering and an affinity for hardware.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy, Machine Learning and Vision, Doctor of Philosophy, Machine Learning and Vision at University of Hyderabad