Debangsha
Sarkar

I am a Machine Learning Engineer based in Vancouver, Canada. I completed my M.Sc. in Computer Science from the University of British Columbia, focusing on machine learning (ML). My thesis research focused on developing a novel algorithm for active learning that accelerates the learning of ML models using minimal data compared to traditional data-hungry models.
Please read my thesis by clicking this link
I have a strong foundation in developing and deploying machine learning models. I am a published author. Please click the links below to see my publications:
- MATHMOD 2022
- Computers in Industry Journal
Apart from being a computer scientist, I am a content creator and podcaster in the AI space. I use these platforms to disseminate knowledge about artificial intelligence.
YouTube
Spotify
Apple Podcast

Quick Links 👇


pet projects


RESEARCH PAPERS

Novel Representative Sampling for Improved Active Learning MATHMOD 2022
Non-data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL) Computers in Industry Journal 2023

references

REFERENCE TVEON
REFERENCE VERSATILE MEDIA

Podcast

Awesome Intelligence Podcast