Saurabh Rai

Lead Software Engineer (LMTS) at The Apache Software Foundation

Hyderabad, Telangana, India
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Summary

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Rockstar
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Top School
Saurabh Rai is a Lead Software Engineer with 10 years of experience building highly scalable, multi-layered distributed systems and data platforms, currently leading engineering efforts at Salesforce. He has a strong foundation in data structures, algorithms, and software architecture, and has shipped production systems at Amazon (Alexa Data Services) and ServiceNow, as well as low-code and AR frameworks earlier in his career. An active contributor to Apache Phoenix, he blends hands-on implementation with mentorship, routinely guiding junior engineers and improving team practices. He’s augmenting his expertise with an executive postgraduate program in Machine Learning & AI, signaling a shift toward data-driven system design. Notably, he has a track record of automating heavy manual processes—cutting app-upgrade effort from a week to two days early in his career—demonstrating a practical focus on developer productivity and operational efficiency.
code11 years of coding experience
job9 years of employment as a software developer
bookExecutive Post Graduate Programme in Machine Learning & Artificial Intelligence, Artificial Intelligence, Executive Post Graduate Programme in Machine Learning & Artificial Intelligence, Artificial Intelligence at International Institute of Information Technology Bangalore
bookKendriya Vidyalaya Sangathan
bookBachelor's Degree, Computer science engineering, Bachelor's Degree, Computer science engineering at Chitkara University
languagesEnglish, Hindi, angika
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Github Skills (10)

hbase10
sql10
java10
database10
apache-phoenix9
machine-learning-algorithms5
socket-io4
javascript3
nodejs3
video-streaming1

Programming languages (3)

JavaJavaScriptPython

Github contributions (5)

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TheNamesRai/phoenix

Oct 2022 - Nov 2025

Mirror of Apache Phoenix
Contributions:1 PR, 48 pushes, 9 branches in 3 years 2 months
apache-phoenixelixirapachephoenixjava
TheNamesRai/DigiRec

Jun 2018 - Jan 2019

Contributions:3 PRs, 18 pushes, 1 branch in 7 months
machine-learning-algorithms
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