A Machine Learning Engineer specializing in biometric recognition and real-time AI systems. Currently leading patent-pending biometric technology development, engineering systems that handle 100,000 users with 99.9% accuracy. My research at Michigan State University, published in IEEE Transactions, advanced mobile palmprint recognition to commercial readiness. I thrive on building scalable AI solutions that bridge cutting-edge research with real-world applications.

Experience

Machine Learning Engineer

@ Five ID (July 2024 - Present)

Leading research in contactless biometric recognition algorithms, achieving benchmark performance in palmprint identification

Graduate Research Assistant

@ Michigan State University (Aug 2021 - May 2024)

Published 4 papers on Biometric Recognition in IEEE TIFS and international conferences, advancing research in palmprint and fingerprint recognition

Graduate Teaching Assistant

@ Michigan State University (Jan 2024 - May 2024)

Led and mentored 35 MBA students in mastering Business Analytics and Data Science fundamentals

Software Engineering Intern

@ Technomentum (May 2020 - July 2020)

Designed a full-stack application to automate tax withholdings across 50 states, abstracting complex taxation laws

Publications

S. A. Grosz, A. Godbole, and A. K. Jain. "Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel, Embeddings", IEEE Transanctions on Information Forensics and Security (TIFS), 2024.

A. Godbole, S.A. Grosz, and A. K. Jain. "Contactless Palmprint Recognition for Children", IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), 2023.

A. Godbole, S. A. Grosz, K. Nandakumar, and A. K. Jain. "On Demographic Bias in Fingerprint Recognition", International Joint Conference on Biometrics, 2022.

A. Godbole, K. Nandakumar, and A. K. Jain. "Learning an Ensemble of Deep Fingerprint Representations", 2022.