Summary
Shashwat Bhardwaj is an emerging ML researcher and educator with eight years of experience bridging applied NLP research and hands-on engineering. Currently an MS(R) candidate at IIT Delhi, he leads research on LLM-based Seq2Seq models for low-resource tribal languages—improving CHRF from 30 to 55—and has presented outcomes to India’s Ministry of Tribal Affairs. Alongside TA roles across undergraduate and postgraduate courses, he manages research communications as the MISN Lab LinkedIn lead and coordinates placements for the School of AI, showing a rare blend of technical depth, teaching ability, and storytelling. He has practical experience deploying diverse architectures (LSTMs, Transformers, RoFormers, MoE, GPT variants) and designing novel pretraining methods like GARuD. Eager for Applied Scientist / ML Scientist roles, he pairs fast learning instincts with a track record of leading intern teams and delivering impact in resource-constrained language settings.
8 years of coding experience
1 year of employment as a software developer
Senior Secondary CBSE, 86%, Senior Secondary CBSE, 86% at Shaheed Rajpal DAV Public School - India
Bachelor of Technology, Computer Science and Engineering, 74.60%, Bachelor of Technology, Computer Science and Engineering, 74.60% at Maharaja Agrasen Institute Of Technology- Guru Gobind Singh University
High School ICSE, 95.16%, High School ICSE, 95.16% at Holy Angels Public School
Indian Institute of Technology Delhi (IIT Delhi)
Master of Technology - MTech, Artificial Intelligence [Dropped], 8.53, Master of Technology - MTech, Artificial Intelligence [Dropped], 8.53 at Delhi Technological University (Formerly DCE)
English, Hindi, Bengali