Debaditya Shome

Debaditya Shome is a final year undergraduate student with a strong background in AI research and industrial experience.

His research interests encompass Self-supervised Learning, Generative Learning, Computer Vision, and their interactions with various data modalities like natural language and audio.

Debaditya has authored 7 peer-reviewed publications in deep learning as a first author, showcasing his expertise in the field.

Proficient in a diverse Tech Stack including Tensorflow, PyTorch, NumPy, Pandas, Apache Spark, and more, he is well-versed in a wide range of technologies.

Skilled in Python, C++, Javascript, and actively learning Lua and SQL, Debaditya possesses a strong programming background.

His academic qualifications include a BTech in Electronics and Telecommunication engineering, Micromasters® in Statistics and Data Science from MIT, and Nanodegrees in Deep Reinforcement Learning and Computer Vision from Udacity.

Debaditya has held various roles such as AI Intern at SHL, Lead Data Scientist at Brand Love Intelligence, and Lead Machine Learning Engineer at Omdena, among others, demonstrating his versatile experience.

He has been associated with esteemed organizations like Carnegie Mellon University, Thompson Rivers University, and Samsung India, enhancing his industry exposure.

With a keen interest in Systematic Generalization, Neuroplasticity, and Multi-disciplinary AI, Debaditya explores diverse aspects of artificial intelligence.

Formerly engaged in roles ranging from Research Intern to Tech Lead and Subject Matter Expert, he has contributed significantly to the AI and Machine Learning domains.