Parth doshi is a software engineer with 11 years of experience building scalable data and ML systems, currently based in New York. At Fathom he led engineering efforts to ingest and align over 10 million historical HIPAA records and designed ETL/reverse-ETL pipelines that processed tens of thousands of records per day for model finetuning and deployment. He has hands-on experience accelerating model training (migrating workloads to TPUs for a 10x speedup), deploying medical NLP models across hospital networks, and hardening production access controls from his Microsoft internship. Trained in computer science, math, and statistics at Purdue, he blends practical systems engineering with applied ML for healthcare, with a track record of turning large, messy clinical text into production-ready models and pipelines. An often-overlooked strength is his cross-domain fluency—networking, full-stack tooling, and ML—gained through internships at Cisco and Viptela that inform robust, end-to-end solutions.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Math, Statistics, Bachelor of Science (B.S.), Computer Science, Math, Statistics at Purdue University
Contributions:2 reviews, 22 PRs, 135 pushes in 8 years 7 months
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