Aditya Jadhav
Vadodara, Gujarat, India
Summary
👤
Senior🎓
Top SchoolAditya 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 ArizonaMaster of Business Administration, Master of Business Administration at Indian Institute of Management, KozhikodeHigh School Diploma PCM, High School Diploma PCM at Shri Krishna Public School
English, Hindi, Marathi, Arabic
Github Skills (114)
minecraft10
security10
computational-biology10
tomcat10
systems-biology10
gatsby10
biology10
probabilistic-models10
gatsbyjs10
macos10
sbml10
ports10
assembler10
command-line10
bioinformatics10
Programming languages (18)
Github contributions (5)
ml4ai/delphi
Jan 2018 - Apr 2022
Framework for assembling causal probabilistic models from text and software.
Contributions:7 releases, 8 reviews, 1256 commits in 4 years 3 months
probabilistic-models
adarshp/adarsh.cc
Dec 2017 - Apr 2026
Contributions:1 PR, 171 pushes, 6 branches in 8 years 5 months
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