Summary
Pratyaksh Sharma is a research engineer focused on NLP, interpretability, and data science, combining nine years of technical experience with rigorous academic training from Imperial College London. He has hands-on research experience at G-Research, where he built a custom NLP pipeline for large real-world text datasets and returned as a research engineer after internship roles. A top-performing student—ranked 2nd in his computing cohort and a British Informatics Olympiad national finalist—he pairs strong problem-solving and algorithmic thinking with practical engineering. Beyond research, he led Imperial’s Department of Computing Society and directed IC Hack 24, managing a 20-person team and a six-figure budget, demonstrating rare product and event-scale execution skills for an engineer at this stage. He brings a blend of applied research, production-oriented NLP engineering, and leadership that accelerates deploying cutting-edge techniques into real-world workflows.
9 years of coding experience
1 year of employment as a software developer
A Levels: Mathematics Further Mathematics Computer Science Physics EPQ, A Levels: Mathematics Further Mathematics Computer Science Physics EPQ at Colchester Royal Grammar School
Master of Engineering - MEng Computing, Master of Engineering - MEng Computing at Imperial College London