Lakshmi Sreethar
Software Engineer at ScyllaDB
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolLakshmi Sreethar is a seasoned software engineer with 13 years of expertise building distributed, highly available in-memory and time-series databases, currently contributing to ScyllaDB’s core backend. She has deep C/C++ and Go skills, a strong grounding in database internals from leading MySQL Cluster development at Oracle (including a production Go Kubernetes Operator and NDB plugin work for MySQL 8.0), and recent contributions adding PostgreSQL 16 support to TimescaleDB. Based in Bengaluru, she combines systems-level performance tuning (bloom filters, compaction, SSTable formats) with cloud-native orchestration experience around Kubernetes operators. Her open-source footprint spans prominent projects like ScyllaDB and TimescaleDB, reflecting a practical knack for stabilizing complex storage systems and shipping GA-grade tooling.
13 years of coding experience
9 years of employment as a software developer
B.E. Computer Science and Engineering, B.E. Computer Science and Engineering at Mepco Schlenk Engineering CollegeM.Tech Database and Information Retrieval, M.Tech Database and Information Retrieval at International Institute of Information Technology BangaloreRose Mary Matriculation Higher Secondary School, Tirunelveli
Stackoverflow
472reputation
28kreached
8answers
7questions
Github Skills (35)
timeseries-database10
c-language10
postgresql10
nosql10
sstable10
databases10
scylla10
bloom-filter10
timescaledb10
seastar10
performance-optimization10
cplus10
sql10
pact10
cpp10
Programming languages (7)
Github contributions (5)
scylladb/scylladb
Jan 2024 - Apr 2025
NoSQL data store using the seastar framework, compatible with Apache Cassandra
Role in this project:
Back-end Developer
Back-end DeveloperContributions:166 reviews, 102 PRs, 389 comments in 1 year 3 months
Contributions summary:Lakshmi Narayanan Sreethar primarily contributed to the ScyllaDB's back-end code base. Their work involved addressing exception handling in compaction, enhancing the reader permit to ensure schema integrity, and improving the handling of data directory verification during startup. They also addressed issues related to memory management and performance in various components such as bloom filters and the index reader, and introduced several improvements and optimizations in the compaction process, further contributing to overall system stability and efficiency.
cppnosqlseastarcassandrasql
timescale/timescaledb
Nov 2022 - Jan 2023
A time-series database for high-performance real-time analytics packaged as a Postgres extension
Role in this project:Backend Developer & Database Engineer
Backend Developer & Database EngineerContributions:42 reviews, 15 commits, 80 PRs in 2 months
Contributions summary:Lakshmi primarily contributed to the TimescaleDB codebase by addressing compatibility issues related to PostgreSQL 15 and 16, including fixes for test failures and refactoring of existing code. Their work involved modifying CI/CD configurations, adjusting test cases, and updating code to accommodate changes in the PostgreSQL API. The user demonstrated a strong understanding of database internals, including concurrency issues and memory management within the PostgreSQL ecosystem, as well as modifying core database code.
postgresql-extensionfinancial-analysiscomplex-queriestime-seriestsdb
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.