Summary
Vipul Raheja is a research scientist based in San Francisco with 15 years of hands-on experience building NLP systems and large language model applications. After a long tenure at Grammarly advancing LLM personalization, RLHF/RLAIF, retrieval-augmented generation and AI-generated text detection, he now contributes to frontier research at Google DeepMind. His background spans applied research and product-focused engineering—from conversational agents and meeting-scheduling AI to document-level LLM understanding and multilingual text revision—bridging academic rigor with production deployment. He began his career in research roles at IIIT Hyderabad, Columbia and IBM Research and has a track record of shipping end-to-end NLP pipelines and practical LLM evaluators. Notably, he combines deep learning expertise with real-world evaluation methods (LLMs-as-evaluators) and tooling for LLM agents, showing a rare blend of experimentation, evaluation, and productization skills.
14 years of coding experience
14 years of employment as a software developer
B. Tech. Computer Science and Engineering, B. Tech. Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIIT Hyderabad)
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Columbia University