Sai A is a software engineer with nine years of experience, currently at Databricks after progressing through technical leadership roles at D.E. Shaw India where he built Python/C++ systems for business-critical trading workflows. He holds a dual B.Tech/M.Tech in Computer Science from IIT Kharagpur with a standout 9.7/10 CGPA and combines strong academic foundations with practical delivery under tight timelines. His work spans designing resilient ETL pipelines, APIs, and large-scale data migrations while improving auditability and reducing human error in compliance-sensitive processes. Sai also has full-stack experience from an intern project that integrated React front-ends with private Jupyter backends for secure factor analysis, and contributes to open-source algorithmic code in projects like OpenGenus/cosmos. Known for methodical debugging of decades-spanning benchmark data and pragmatic improvements to data quality, he brings both deep technical rigor and operational discipline to production systems. Based in Hyderabad, he is motivated by solving complex problems and shipping high-quality, impactful software.
9 years of coding experience
Intermediate (MPC), Intermediate (MPC) at Fiitjee Junior College
10th Class, CBSE, 10th Class, CBSE at Little Angels School
B.Tech + M.Tech Dual Degree, Computer Science and Engineering, 9.7/10, B.Tech + M.Tech Dual Degree, Computer Science and Engineering, 9.7/10 at Indian Institute of Technology, Kharagpur
Primary school, Primary school at Sri Venkateswara Bala Kuteer
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Back-end Developer
Contributions:10 commits, 4 PRs, 11 comments in 1 day
Contributions summary:Sai contributed code focused on implementing mathematical algorithms related to finding trailing zeroes in factorials. Their work involved writing Python and C++ code to solve this problem, incorporating input prompts and output displays. The commits also involved code deletions, renaming files, and adding a header comment, indicating basic project management and code organization efforts.
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