Aahan Tyagi is a software engineer specializing in machine learning with three years of experience and a strong academic foundation from IIT Indore (BTech) and the University of Minnesota (MS, 3.945 GPA). Currently building recommendation systems for YouTube Shorts at Google, he combines production ML experience with research expertise in NLP—contributing to RAG systems and co-authoring two recent papers on LLM artifact and synthesis analysis. His background spans signal-processing research using Empirical Wavelet Transforms and hands-on tutoring and course design for C++ undergraduates, reflecting both analytical depth and teaching aptitude. Passionate about reinforcement learning and adaptive systems, he brings an experimental, research-driven approach to product problems and excels at turning novel algorithms into scalable features. Based in San Jose, he is equally comfortable in the lab and the production stack, and often bridges the gap between academic insights and real-world recommender challenges.
3 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, 3.945, Master of Science - MS, Computer Science, 3.945 at University of Minnesota
Bachelor of Technology - BTech, Electrical and Electronics Engineering, 9.19, Bachelor of Technology - BTech, Electrical and Electronics Engineering, 9.19 at Indian Institute of Technology, Indore
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Aahan Tyagi - Software Engineer, Machine Learning at Google