Summary
Sujay Patil is a bioinformatics software developer with nine years of experience building open-source tools and data models that make complex biomedical metadata FAIR and interoperable. Based at Berkeley Lab, he contributes to LinkML and has applied schema-driven toolchains to harmonize cancer and microbiome datasets and to build the CCDH common data model. He blends backend engineering (Python, APIs, CI/CD) with full-stack and data-pipeline experience from clinical informatics to synthetic-engineering detection, and has integrated knowledge graphs and ontologies as inputs to ML workflows. Comfortable in research and production environments, Sujay has a track record of turning domain-specific standards into usable tooling (e.g., DataHarmonizer) for federally funded projects. Notably, his work often sits at the intersection of ontologies, JSON-LD/LinkML schemas and practical submission interfaces, enabling downstream analytics and reproducible research.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Bioinformatics, 3.85/4.0, Master's degree, Bioinformatics, 3.85/4.0 at University of Southern California
Secondary School, 10.0 CGPA in Class 10 CBSE Examinations, Secondary School, 10.0 CGPA in Class 10 CBSE Examinations at Delhi Public School - Bangalore South
Bachelor's degree, Computer Science and Engineering, 9.05/10.0, Bachelor's degree, Computer Science and Engineering, 9.05/10.0 at Vellore Institute of Technology
English, Kannada, Hindi