Summary
Harsh Gupta is a Machine Learning Engineer with 11 years of experience blending applied ML, data engineering, and full-stack development to solve real-world problems across higher education and enterprise clients. Currently at Indiana University Bloomington, he helps campus departments optimize operations and student experience by building end-to-end ML solutions and streamlining data pipelines. Previously at Deloitte he delivered cloud migrations, ETL accelerators that cut development time by 40%, and pricing models projected to add $1M–$3M in profit for a large QSR client. His background spans NLP, computer vision, data visualization and production engineering, with academic work that includes a published IEEE paper on mobile night-sky imaging from a Samsung research internship. Pragmatic and efficiency-focused, he routinely automates tedious tasks (saving teams hours per week) and mentors peers on Python and data engineering best practices. Based in Bloomington, he combines research-grade vision with hands-on delivery experience across freelance and enterprise projects.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Maharshi Dayanand University Rohtak
English, Hindi