Rishabh Thakur

Background

About Rishabh Thakur

I’m a Senior Machine Learning Engineer at Qualcomm with around 6 years of industry experience, primarily focused on designing and delivering solutions for deploying cutting-edge AI systems. My core expertise lies in large language models (LLMs), quantization, and optimizing models for edge deployment. Currently, I lead key initiatives in LLM graph generation, graph alignment, and the integration of quantization and compression techniques into production pipelines. These efforts have accelerated customer model onboarding, minimized reliance on third-party tools, and improved overall deployment efficiency. I’ve worked with prominent LLM architectures such as LLaMa, Qwen, Phi, and Gemma, and have contributed to Qualcomm’s AIMET and QAIRT toolchains. With an M.Tech from IIT Kharagpur and a strong foundation in NLP, deep learning, and systems programming, I thrive at the intersection of research and real-world application. I’m passionate about solving high-impact problems through cross-functional collaboration and staying ahead in the fast-evolving AI landscape. I’m open to opportunities that involve building scalable, responsible AI systems—particularly in the areas of LLMs, edge intelligence, and applied machine learning.