Summary
Sparsh Priyadarshi is an analyst and master's candidate in computer science at the University of Cincinnati with 10 years of software engineering experience across cloud, deep learning, and real-time graphics. He has built production features for image annotation and labeling pipelines at Cincinnati Insurance, developed Java EE CRM systems at CenturyLink, and researched audio classification on IoT devices and sparse volume rendering with OpenVDB. Proficient in Java, Python, C/C++, and familiar with Azure, Docker, CUDA, PyTorch and Spark, he bridges research and applied engineering to deliver ML-ready datasets and performant rendering systems. A pragmatic tinkerer who “cannot help but fiddle with things,” he pairs hands-on coding with cross-disciplinary curiosity—he’s also an electric guitarist who prefers VIM over Emacs.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Cincinnati
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at Delhi College of Engineering
AISSCE Physics Chemistry Mathematics English Computer Science, AISSCE Physics Chemistry Mathematics English Computer Science at St.Columba's School, New Delhi
Hindi, English