Lakshmi Ramachandran
Machine Learning Engineer at Reddit, Inc.
United States
Summary
👤
Senior🎓
Top SchoolLakshmi Ramachandran is a Machine Learning Engineer with 15 years of experience building production ML systems that improve relevance and user engagement, currently driving retrieval improvements at Reddit. She has a strong applied-research background from roles at Amazon/A9 and Pearson, where she designed ranking, personalization, and NLP models for advertising, video recommendations, autocomplete, and automated essay scoring. Her PhD work combined NLP, graph-based text analysis, and summarization to provide actionable feedback on peer reviews, a thread that surfaces in her practical focus on model interpretability and coverage. She has hands-on backend engineering experience from contributing to the NSF-backed Expertiza project, reflecting comfort across model development and core application logic. Known for bridging research and product, she excels at turning language and behavioral signals into scalable ranking solutions that measurably boost relevance.
15 years of coding experience
12 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at North Carolina State UniversityGood Shepherd Convent
Github Skills (9)
ruby-rails10
rails10
sql10
ruby10
peer-to-peer9
code-review9
peer9
activerecord9
database-design8
Programming languages (1)
Github contributions (5)
expertiza/expertiza
Apr 2011 - Mar 2013
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Backend Developer
Backend DeveloperContributions:112 commits in 1 year 11 months
Contributions summary:Lakshmi primarily contributed to the backend of the Expertiza web application, evidenced by modifications to database schemas, controllers, and model files. Their work involved fixing bugs related to undefined variables, preventing topic dropping after deadlines, and enhancing metareview functionality. The user also made changes to assignment creation and review workflows, indicating their involvement in core application logic.
nationalpeer-reviewexpertiza-wikidjangoexpertiza
lramach/torch
Jul 2015 - Jul 2015
Contributions:18 pushes, 4 branches in 26 days
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