Debapriya Tula is a graduate ECE student at UCLA with eight years of experience bridging deep learning research and applied engineering, including pre-doctoral research roles at Google and DeepMind focused on efficiency and robustness of vision transformers for image and video tasks. They have hands-on experience in domain adaptation, OCR test-time adaptation, and healthcare-focused RL and prostate cancer detection projects, and currently balance teaching data science and machine learning courses with applied research internships. Comfortable moving models from research to practical settings, Debapriya has a track record of improving model efficiency and robustness while mentoring students as a teaching assistant. Seeking summer 2025 internships as a Research Engineer or MLE, they combine academic rigor with product-minded problem solving and a flair for squeezing performance out of large models.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at UCLA Henry Samueli School of Engineering and Applied Science
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Indian Institute of Information Technology, SriCity
This repo contains implementation for the paper "Bitions@DravidianLangTech-EACL2021: Ensemble of Multilingual Language Models with Pseudo Labeling for Offence Detection in Dravidian Languages" to be presented at EACL-2021
Contributions:18 commits, 2 PRs, 14 pushes in 1 year 4 months
Contributions:8 commits, 5 pushes, 1 branch in 11 months
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