Summary
Ronak Bhagchandani is a software engineer and machine learning practitioner with eight years of experience building scalable, production-ready systems across healthcare, fintech, e-commerce, and research. Currently at Google as an MLE focused on GenAI, he previously led the development of a multimodal 3D CNN + generative pipeline at Indiana University that achieved 94% accuracy for early Alzheimer’s detection and synthesized gene expression from MRI with 96% accuracy. He combines hands-on infrastructure work—CI/CD, data sharding, cloud/GPU deployment—with research-forward model work including custom feature-correlation losses and explorations of Transformer/LSTM-based MRI feature extraction. His background spans full-stack product work and startups where he improved site performance, built low-latency recommendation and fraud systems, and shipped end-to-end vision models, demonstrating both impact-driven engineering and academic rigor. Based in Cambridge, MA, he pairs a near-complete MS in Computer Science (3.87 GPA) with a knack for translating complex ML research into reliable, interpretable clinical and production pipelines.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, 3.87, Master's degree, Computer Science, 3.87 at Indiana University Bloomington
Bachelor of Engineering, Computer Engineering, 3.67, Bachelor of Engineering, Computer Engineering, 3.67 at Vishwakarma Government Engineering College
English, Hindi, Gujarati