Akash Gaonkar is a Software and ML researcher with 11 years of engineering experience, currently building prompt-driven notebooks, CLIs, and clinical prognostic pipelines in collaboration with Johnson & Johnson through Purdue Data Mine. He blends deep learning research and practical engineering—previous work includes drone-based computer vision (YOLO, Faster R-CNN) and real-time OpenCV pipelines, plus quant-focused projects in online learning and NLP at Boiler Quant. Comfortable across full-stack systems, backend tooling, and LLM/GenAI integrations, he has a startup mindset and a track record of shipping production-ready models and internal tools. Based in the Greater Chicago area, he pairs financial-mathematics curiosity with hands-on ML engineering, often bridging research prototypes to deployable pipelines. An early Johns Hopkins engineering program alumnus, he brings interdisciplinary rigor and a focus on applied AI in regulated domains.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, STEM, 11th-12th, High School Diploma, STEM, 11th-12th at Stevenson High School, Lincolnshire, IL
Johns Hopkins University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Purdue University
High School Diploma, 9th-10th, High School Diploma, 9th-10th at Millennium National School
Contributions:26 PRs, 34 pushes, 11 branches in 26 days
cssdecisionsdesigndesign-system
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Akash Gaonkar - Software & ML Researcher - Purdue Data Mine