Summary
Anis Zaman is an Applied Research Scientist with a decade of experience building production-ready ML systems and robust software, currently driving applied research at eBay. He combines a PhD in Computer Science from the University of Rochester with hands-on experience deploying models for user experience, search, and safety—work that spans internships at Snap and Microsoft and multiple applied research roles at eBay. His graduate research uniquely blends AI/ML with digital behavior analysis, including projects on mental health, suicide risk signals from social media, and using web and wearable data to study human behavior. Comfortable across the stack, he has implemented scalable solutions from Locality Sensitive Hashing for deduplication to ensemble and deep-learning models on cloud platforms. A practical problem-solver who “makes things happen,” he brings both software engineering rigor and research depth to turn open-ended academic questions into impactful user-facing products. Based in Atlanta, he is continuously learning new technologies and gravitating toward projects that deliver measurable real-world benefits.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Arts in Science Computer Science and Mathematics, Bachelor of Arts in Science Computer Science and Mathematics at Bard College
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Rochester
Bengali, Hindi, Urdu, English