Summary
Prashant Mahajan is a data-focused engineer and MS candidate in Computer Science at NYU with a decade of hands-on experience blending machine learning, deep learning, and data infrastructure. Currently interning on data infrastructure at Affectiva, he builds scalable ML pipelines informed by prior work on face, age, and gender detection at CalculAI and practical data cleanup and governance at NYU. He brings a pragmatic interest in the ethics of AI and a clear goal to apply technology to reshape values for social good rather than chase buzzwords. Comfortable with end-to-end workflows—from web scraping and dataset curation to analytics and production triggers—he pairs technical breadth with governance-minded rigor. Active in student leadership roles earlier in his career, he has a track record of organizing technical communities and managing cross-functional projects. Colleagues describe him as curious and reflective—“thinking, learning, exploring”—which fuels steady growth in both research and applied ML.
10 years of coding experience
Master of Science - MS , Computer Science, Master of Science - MS , Computer Science at New York University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Mumbai