Paarth Tandon is an AI/ML engineer with a decade of experience building production-grade detection systems across gaming, finance, and life sciences. He has delivered real-time NLP pipelines, scalable vision transformer deployments, and graph-based threat detection—work that increased automated anti-cheat bans by 20% and reduced API costs by 25%. Comfortable across the ML lifecycle, he’s productionized models using Docker, AWS Batch, Airflow, ElasticSearch, and LangChain while enabling non-technical stakeholders through tools like Gradio. His background includes developing an FDA-compliant data pipeline and a >99% accurate biological sample classifier, showing an uncommon blend of regulated-domain rigor and adversarial-security savvy. Based in San Francisco, he balances technical depth with outdoor pursuits like bouldering and guitar, which inform his collaborative, experiment-driven approach.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science (Data Science), Master of Science - MS, Computer Science (Data Science) at Manning College of Information and Computer Sciences, UMass Amherst
High School Diploma, High School Diploma at Bishop Hendricken High School
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at College of Information and Computer Sciences, UMass Amherst
Contributions:47 commits, 40 pushes, 2 branches in 27 days
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