Summary
Prateek Mehta is a Senior Machine Learning Engineer with nine years of experience applying deep learning and data science to customer-facing products and high-stakes fraud detection. Currently at Apple, he has a track record building production ML systems—from Alexa personalization and recommenders to a SageMaker-backed fraud pipeline that flagged $100M in suspect healthcare claims. He combines research experience in GANs for antibody-antigen modeling with pragmatic software engineering skills (React, Redux, scalable pipelines) honed across Verizon, PNC, and Florida Blue. Known for bridging ML research and production, he designs ensemble and deep models for NLP, recommender systems, and anomaly detection while mentoring teams and delivering measurable business impact. Based in Georgetown, Texas, he’s pursuing a PhD in Computer Science while continuing to build consumer and enterprise ML solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, 8.95, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, 8.95 at Birla Institute of Technology, Mesra
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Florida International University
Master's degree, Electrical and Computer Engineering, 3.6, Master's degree, Electrical and Computer Engineering, 3.6 at Boston University
English, French, Hindi