Summary
Aditya Shelke is a University of Maryland double-major (Computer Science & Mathematics) and robotics minor pursuing hands-on work at the intersection of robotics, signal processing, and machine learning. With eight years of experience and internships at Bloomberg and Bank of America, he blends software engineering with embedded systems—most notably building a passive SONAR pipeline that moved from Python/Scipy and MATLAB prototypes to FPGA implementations in Verilog/VHDL. He has applied probabilistic methods in industry (MCMC and particle-filter concepts) and co-authored a published simulation study on nanoparticle drug delivery, demonstrating a strong quantitative and research-oriented mindset. Comfortable across C, Java, Python, and hardware toolchains under Linux, he enjoys tackling technically challenging, creative projects that require both algorithmic rigor and practical systems engineering.
8 years of coding experience
Savitribai Phule Pune University (SPPU)