Pavan Damalapati is a backend-focused software engineer with 8 years of experience shaping high-volume data systems and ML-enabled workloads, currently applying his craft at Celonis. He blends hands-on production engineering with active research at Columbia University, where he has contributed to Python libraries for training tree-based ML models on SQL databases and visualization tools for wide-table analytics, with ACM publications on both topics. His experience spans distributed systems, databases and data warehousing (Kafka, MySQL, Postgres, RocksDB, InfluxDB, MongoDB, Snowflake, BigQuery, Firebolt) and Java server frameworks, reflecting a robust backend and data engineering toolkit. He has a track record of delivering measurable improvements—from reducing error classification deployment times to optimizing ingestion rates and resource-aware job scheduling at Hevo Data. An active open-source contributor with work on Jackson, DepsCloud and Trickster, he also shares technical learnings on pavan-kalyan.dev. Based in New York, he combines academic rigor with industry-scale impact, pursuing research in databases, distributed systems, and data visualization.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Computer science and engineering, 9.42/10, Bachelor of Technology, Computer science and engineering, 9.42/10 at Manipal Institute of Technology
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Columbia University in the City of New York
Flutter App which retrieves and displays all the upcoming contests from sites like codeforces.com, atcoder.jp etc. Data retrieved from Kontests.net api.
Contributions:3 releases, 2 PRs, 6 pushes in 2 years 1 month
apiflutter-appdisplayscodeforces-comdart
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Pavan Damalapati - Software Engineer at Columbia University