Sonish Sivarajkumar
Advisor - Generative AI
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolSonish Sivarajkumar is an AI researcher and advisor specializing in generative and agentic AI with eight years of experience building ML systems across pharma, biotech, and academia. He designs and deploys end-to-end generative solutions for immunology and protein chemistry, and builds LLM-powered agents that materially speed clinical trial adjudication and outcome prediction. At Eli Lilly he has driven projects that reduced research timelines by ~25% through applied foundation models and NLP pipelines that extract cardiovascular and oncology outcomes from EHRs. His PhD-level background in AI and cross-training in causal inference from Carnegie Mellon underpin a pragmatic focus on translational research and secondary use of clinical data. Known for moving ideas from prototype to production, he combines deep research rigor with hands-on engineering to deliver clinical impact.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Government Engineering College, ThrissurDoctor of Philosophy - PhD, Artificial Intelligence, 3.9, Doctor of Philosophy - PhD, Artificial Intelligence, 3.9 at University of PittsburghCross Registeration, Causal Inference and NLP, 3.9, Cross Registeration, Causal Inference and NLP, 3.9 at Carnegie Mellon UniversityProgramming languages (1)
Github contributions (5)
sonishsivarajkumar/research-test
Apr 2021 - Apr 2021
Contributions:197 pushes, 1 branch in 1 day
sonishsivarajkumar/homepage
Jun 2019 - Jan 2022
Contributions:45 commits, 45 pushes, 1 branch in 2 years 8 months
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