Prithvi Prakash is a machine learning engineer and UIUC grad student with 11 years of professional experience spanning software engineering, data science, and applied research. He builds production-ready ML and computer vision systems—most recently at Bayer—translating ambiguous problem statements into data-driven solutions for domains from agricultural phenotyping to medical imaging. At IISc he led development of semi-supervised algorithms for polyp segmentation (patent pending) and has a track record of engineering scalable data pipelines and APIs. Comfortable in both research labs and product teams, he pairs a perfect 4.0 UIUC master’s in Data Science with hands-on experience in algorithm design, cryptography-adjacent interests, and image processing.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Information Science - Data Science and Analytics, 4.0/4.0, Master's degree, Information Science - Data Science and Analytics, 4.0/4.0 at University of Illinois Urbana-Champaign
Bachelor of Engineering - BE, Information Science, Bachelor of Engineering - BE, Information Science at Dayananda Sagar Institutions
A web app for implementing honey encryption written using python for honey encryption modules, Django for backend purposes, bootstrap for front end development. This Honey Encryption algorithm provides resilience towards brute force attack which is one of the mazor threat for any encryption methods
Contributions:2 PRs in 5 years 1 month
pythonhoneydjangofront-end-developmentbackend
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Prithvi Prakash - Machine Learning Engineer at Bayer