Neha Kunjal
Software Engineer at LinkedIn
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolNeha Kunjal is a software engineer with nine years of experience building scalable backend systems, currently on LinkedIn’s stream processing team while completing a master's in CS at Stanford. She previously improved LinkedIn Learning ingestion throughput from 100 QPS to 20k QPS and hardened publish tracking to eliminate double-counting, demonstrating a knack for performance tuning and reliable data pipelines. Her toolkit spans Java, Python, Kafka, RocksDB, Samza/Beam, Couchbase and distributed system design, with hands-on experience integrating access control and SFTP reliability improvements. Beyond production engineering, Neha has deep teaching experience across Stanford and UC Berkeley courses—covering algorithms, ML theory, networking and cryptography—which sharpens her ability to communicate complex technical ideas. She combines academic rigor with product-focused execution and a clear interest in applying technology for social impact. An uncommon strength is her consistent involvement in both curriculum development and high-throughput production systems, linking pedagogy with practical engineering.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, BerkeleyMaster's degree Computer Science, Master's degree Computer Science at Stanford University
Github Skills (2)
python7
machine-learning3
Programming languages (3)
Github contributions (5)
Berkeley-CS170/project-fa19
Nov 2019 - Dec 2019
CS 170 Fall 2019 Project
Contributions:14 commits, 2 PRs, 13 pushes in 25 days
python2019-fallfall
nkunjal/nkunjal.github.io
Dec 2017 - Apr 2023
Contributions:12 pushes, 1 branch in 5 years 5 months
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