Sai Jayaraman
Technical Leadership Professional at Humana
Lewisville, Texas, United States
Summary
👤
Senior🎓
Top SchoolSai Jayaraman is a senior software and data leader with 13+ years of experience orchestrating digital transformation, microservices adoption, and cloud migrations for large enterprises across healthcare, retail, and travel. Currently a Senior Consultant in an Enterprise Data Organization after two decades at CVS Health as an engineering director, he blends hands-on software delivery with strategic IT organizational change and vendor management. Sai is known for building and mentoring high-performing remote and cross-functional teams, driving measurable improvements through KPI-led process enhancements and proactive risk mitigation. He brings deep compliance experience (PCI, HIPAA, PHI) and a practical focus on automation testing and mobile services that keeps projects secure and production-ready. Unusually for a senior executive, he has contributed code to the widely used pymatgen materials-science library, demonstrating both domain curiosity and back-end engineering chops. Based in Lewisville, TX, he combines global program leadership with a developer’s attention to implementation detail.
13 years of coding experience
28 years of employment as a software developer
Jawahar VidyalayaSanthome Higher Secondary SchoolM.S., Computer Science, M.S., Computer Science at North Dakota State UniversityB.S., Computer Engineering, B.S., Computer Engineering at Shivaji University
tamil, hindi
Github Skills (5)
pymatgen10
science10
python10
numpy10
convex-hull9
Programming languages (1)
Github contributions (3)
materialsproject/pymatgen
Jan 2013 - Jul 2014
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:67 commits in 1 year 6 months
Contributions summary:Sai's contributions primarily involved the development and refinement of the pymatgen library, focusing on the analysis of Pourbaix diagrams. They implemented and modified functionalities within the `pymatgen/analysis/pourbaix` module, including the framework for Pourbaix diagram calculations and chemical potential range mapping. The user also fixed bugs and made improvements to the code related to this specific module, demonstrating a focus on materials science analysis.
pymatgenpythonsciencematerials-sciencematerials-informatics
mbkumar/pymatgen
Jan 2013 - Jul 2014
Python analysis library powering the Materials Project
Contributions:63 commits in 1 year 6 months
python
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