Mohit Rathore
Software Engineer at Apple
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMohit Rathore is a software engineer with a decade of experience building scalable systems and AI-enabled products, currently contributing to AI enablement at Apple in San Francisco. His background spans startups and research—from leading ML and infra efforts at Niveshi to building communication services and chatbots—plus a research fellowship in computer vision. An active open-source contributor, he has improved core NLP tooling by fixing numerical stability and adding tests to the widely used Gensim topic-modeling library. Mohit pairs strong academic credentials (MS in Information and Cybersecurity, 4.0 GPA from Purdue) with practical security and privacy experience from an Apple internship and security tooling work on Twitch. He brings a mix of production-grade engineering, ML experimentation, and a knack for hard-to-see reliability fixes that keep complex models running.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Electronics And Communication, Good, Bachelor of Technology - BTech, Electronics And Communication, Good at Indian Institute of Technology (Indian School of Mines), DhanbadMaster's degree, Information and Cybersecurity, 4.0/4.0, Master's degree, Information and Cybersecurity, 4.0/4.0 at Purdue University
English, Hindi, French
Stackoverflow
6,206reputation
3.4mreached
70answers
9questions
dataframe
top-5%
matplotlib
top-5%
ssl
top-5%
python
top-5%
pandas
top-5%
tkinter
top-5%
Github Skills (30)
gensim10
pytest10
python10
testing10
word-embeddings10
topic-modeling10
nlp10
data-science9
matplotlib9
word2vec9
scipy9
ssl9
pandas9
json9
dataframe9
Programming languages (14)
Github contributions (5)
piskvorky/gensim
Sep 2016 - Mar 2018
Topic Modelling for Humans
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:27 commits, 25 PRs, 190 comments in 1 year 5 months
Contributions summary:Mohit primarily contributed to the Gensim library by fixing bugs and adding tests. Their work involved addressing runtime warnings related to numerical overflow in the `word2vec` model, specifically within the `word2vec.py` module. Additionally, they added tests for the `LSI` and `LDA` models and refactored the base model tests, demonstrating an understanding of the library's functionality and testing procedures. Further contributions included adding a printing functionality to the base model, changing hdpformatter.show_topics behaviour, replacing Python sigmoid function with scipy, optimizing sigmoid function and using logaddexp, and tests passed for doc2vec module and removing Doc2Vec defaults.
pythonword-similarityword-embeddingsdata-miningfor-humans
markroxor/dotfiles
Jun 2016 - Jul 2022
Configuration files for my linux/mac.
Contributions:90 commits, 90 pushes, 1 branch in 6 years 1 month
configurationkarabinerlinuxmacconfiguration-files
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