Ajay Palakuzhy
Staff Software Engineer at Coinbase
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolAjay Palakuzhy is a Staff Software Engineer with 12 years of experience building high-performance, large-scale distributed systems and big data infrastructure across San Francisco, Bangalore, and New York. He has deep JVM and advanced Java expertise and has led teams and technical efforts in fintech, including brokerage, FX, and equity trading systems. Ajay is a core contributor and committer to Presto, the widely used open-source distributed SQL engine, where he worked on exabyte-scale performance and reliability improvements at Meta. His background spans startups to Fortune 100 firms, delivering storage, analytics, and data warehouse solutions and designing scalable microservice and configuration-as-code systems on AWS. Known for pragmatic technical leadership and mentorship, he pairs production-hardened engineering with a knack for performance tuning and low-latency design. As a small, memorable aside, he asks contacts to mention "Good Will Hunting" to guarantee a response.
12 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at National Institute of Technology Warangal
Stackoverflow
11,857reputation
1.7mreached
193answers
4questions
hashmap
top-5%
enums
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java
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collections
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mongodb
top-5%
eclipse
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Github Skills (28)
sql-query10
data-set10
big-data10
java10
data-model10
javas10
sql10
user-data10
eclipse10
presto10
data-engineering9
hashmap9
enums9
multithreading9
distributed-systems9
Programming languages (2)
Github contributions (5)
prestodb/presto
Aug 2019 - Sep 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:821 reviews, 78 commits, 195 PRs in 3 years 1 month
Contributions summary:Ajay primarily contributed to the Presto distributed SQL query engine, focusing on enhancing its core functionality. Their work involved fixing output data size reporting in the PartitionedOutputOperator, improving the efficiency of data handling, and adding support for features like adding partition names and Thrift. The user also addressed several code issues, further improving the reliability and performance of the engine.
distributed-sqlquerybigdataquery-enginesql
ajaygeorge/airlift
Sep 2020 - Feb 2024
Airlift framework for building REST services
Contributions:34 pushes, 10 branches in 3 years 5 months
rest-apipythonrestrest-services
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