Summary
Aditya Jadhav is a software engineer with a strong research bent, combining 11 years of experience with hands-on work in machine learning, visualization, and full-stack web development. As an undergraduate researcher at the University of Arizona he developed a novel active-learning algorithm using early-stopping gradient descent under Tsybakov noise and implemented Active Preconditioned SGD in Python with NumPy and Scikit-Learn. He’s built real-time sensor visualization tools in C++/wxWidgets and a Flask-based speech/video capture web app, and has supported learning for 150+ students as a teaching assistant. Transitioning into industry at AstroComm, he brings a rare blend of theoretical ML insight and practical engineering—equally comfortable prototyping research code and shipping user-facing systems. Driven by a belief that technology should serve people, he seeks roles that translate rigorous algorithms into impactful products.
11 years of coding experience
3 years of employment as a software developer
The University of Arizona
High School Diploma, PCM, 95.2%, High School Diploma, PCM, 95.2% at Shri Krishna Public School
English, Hindi, Marathi, Arabic