Summary
Amritanshu Agrawal is a Senior Machine Learning Engineer with a PhD in Computer Science and over a decade of experience building scalable ML systems across consumer and retail platforms. He has published 10+ papers in top SE venues and created DODGE, a simpler, faster hyperparameter optimizer born from his research in software analytics. In industry he’s led teams and productionized high-throughput pipelines for companies like Wayfair, Stackline, TikTok, and Snap, driving models that impact user trust and millions in ARR. His technical toolkit spans Python and Scala, Spark, Airflow, Docker, and cloud platforms (AWS/GCP), with hands-on experience processing hundreds of GBs and serving 1K+ RPS model endpoints. Beyond production work, he bridges academic rigor and product needs—mentoring teams, organizing data hackathons, and translating complex text-mining and topic-modeling research into practical solutions. Based in Boston, he currently focuses on data security and community integrity while continuing to explore hyperparameter optimization and text mining in private industry projects.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at PES University
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at North Carolina State University