Surya Yalla
Senior Software Engineer at Uber
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSurya Yalla is a Senior Software Engineer with nine years of experience building scalable backend systems and real-time ML inference pipelines, currently based in the San Francisco Bay Area and working at Uber. He has driven personalization and cart optimization at Walmart Labs, designed A/B testing and model-loading infrastructures, and implemented multi-tenant campaign and anomaly-detection architectures earlier in his career. An active contributor to the high-profile Apache Hudi project, Surya has improved log compaction and metadata table integrity for large-scale incremental data processing. He blends strong systems engineering with hands-on data engineering and ML-serving experience, and brings a track record of turning complex production requirements into robust, testable services. Notably, his background spans both enterprise e-commerce impacts (measurable transaction growth) and open-source contributions that improve data reliability at scale.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Computer Science, 3.77, Master of Science (M.S.), Computer Science, 3.77 at University of FloridaBachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, WES 3.73/4, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, WES 3.73/4 at Indian School of Mines
English, Telugu, Hindi
Github Skills (12)
big-data10
apache-hudi10
incremental-processing10
data-engineering10
java9
stream-processing9
javas9
apache-spark9
pac8
pact8
data-integration8
testing7
Programming languages (3)
Github contributions (5)
apache/hudi
Mar 2022 - Oct 2022
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:76 reviews, 2 commits, 24 PRs in 6 months
Contributions summary:Surya primarily contributed to the Apache Hudi project, focusing on enhancements related to log compaction and metadata table improvements. Their work includes implementing log compaction actions for Merge-on-Read (MOR) tables, integrating log compaction services into the metadata table, and addressing issues with rollback logic. The commits also involve modifications to internal testing frameworks and validation checks, alongside refactoring code, indicating involvement in both feature development and ensuring data integrity within the Hudi ecosystem.
stream-processingbigdatahudiincrementalapacheflink
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