Summary
Amit Gajbhiye is an AI engineer and researcher with nine years of experience building deep learning and NLP systems, currently working on applied LLM solutions at ProRata.ai and leading an EPSRC-funded project at Cardiff University. He specializes in learning concept and commonsense embeddings, knowledge distillation, and latency-aware model design—publishing state-of-the-art results across EMNLP, ACL, COLING and other venues. Amit has a strong track record of turning research into deployable tools, from a memory- and latency-optimized quality-estimation browser extension for Mozilla to PEFT-fine-tuned Llama 2 and distilled BERT/RoBERTa models. His background spans academia and industry, with a PhD in NLP and production software experience dating back to Accenture, giving him rare fluency across research, engineering and deployment. He is particularly focused on making large models practical in real-world domains like healthcare, finance and drug discovery by shrinking inference costs without sacrificing accuracy.
9 years of coding experience
11 years of employment as a software developer
HSC & SSC PCM, HSC & SSC PCM at Kendriya Vidyalaya No 1, Indore (M.P.)
Master of Technology - MTech Computer Technology and Application, Master of Technology - MTech Computer Technology and Application at NATIONAL INSTITUTE OF TECHNICAL TEACHERS' TRAINING & RESEARCH, BHOPAL
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at Shri G S Institute of Technology & Science
Doctor of Philosophy - PhD Natural Language Processing | Machine Learning | Commonsense Reasoning, Doctor of Philosophy - PhD Natural Language Processing | Machine Learning | Commonsense Reasoning at Durham University