Akhilesh Siddhanti is a Senior Member of Technical Staff at Salesforce with a decade of experience applying ML and AI to improve developer productivity, currently shaping Test Prioritizer and CI Analytics for a company scaling toward $50B revenue. He blends a rigorous math background (dual MS in Mathematics and MS in CS with ML specialization from Georgia Tech) with practical production engineering, having built end-to-end ML pipelines, inventory services, and monitoring tools that moved to production. His research roots in cryptography and data analysis have produced over ten publications and inform unconventional modeling approaches he applies to reliability and test automation. An active contributor to quality tooling—evidenced by code-quality validation work on the EVA DB project—he focuses on reducing maintenance risk and boosting code health. Based in San Jose, he pairs academic depth with hands-on impact across large-scale developer-facing systems.
10 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Contributions:23 commits, 3 PRs, 10 comments in 20 days
Contributions summary:Akhilesh's contributions center on enhancing code quality through the implementation of validation checks. They added functionality for validating source code for print statements and commented-out code within specific directories. Furthermore, they added functionality for testing and checking the code to identify and validate various patterns. This approach aimed at ensuring the code adheres to best practices and coding standards, suggesting a focus on improving code maintainability and reducing potential issues.
Contributions:2 PRs, 37 pushes, 1 branch in 5 years
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Akhilesh Siddhanti - Senior Member Of Technical Staff at Salesforce