Vijay Vammi is an AI Scaling and Optimization Lead based in the Greater Cambridge area with a decade of experience building and managing ML engineering teams that move models from research to production. He has progressed from computational biology research (PhD) through data science roles at Arm to senior ML engineering and leadership at AstraZeneca, blending deep domain knowledge in bioinformatics with practical production engineering. Vijay specializes in optimizing distributed ML workloads and scalable pipelines, drawing on earlier work modularizing ETL and scheduler tooling in Python for Hadoop environments. He pairs scientific rigor with hands-on systems design, having applied simulation and NMR-informed modeling techniques in academia before tackling enterprise-scale AI deployment. Known for mentoring cross-functional teams, he brings a rare combination of research credibility and operational focus that reduces time-to-deploy for complex ML systems.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at Iowa State University
B.Tech, Bioinformatics, B.Tech, Bioinformatics at Vellore Institute of Technology
Contributions:5 releases, 2 reviews, 84 commits in 1 year 1 month
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