Abhishek Patel
On-device Machine Learning Engineer at Apple
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAbhishek Patel is an on-device machine learning engineer with 11 years of experience building consumer-facing ML solutions and shipping models end-to-end on Android and web platforms. Currently at Apple after a multi-year tenure at Samsung Research America where he progressed from research intern to staff ML engineer, he blends NLP research strengths with practical deployment skills. He is full-stack proficient—comfortable with legacy PHP/MySQL stacks and modern Django/Node/MongoDB/React architectures—and is obsessive about microservices and scalable systems. An active contributor to security-sensitive open-source projects like oauthlib, he has improved debugging, hardened OAuth2 endpoints, and added tests and documentation. Based in Mountain View, he pairs deep research instincts with product-focused engineering to move prototypes from paper to polished apps.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Florida State UniversityBachelor of Technology (BTech) Information Technology, Bachelor of Technology (BTech) Information Technology at Nirma university
English, Hindi, Gujarati
Stackoverflow
794reputation
67kreached
55answers
14questions
Github Skills (20)
python10
testing10
c-library10
common-library10
oauth10
authentication9
user-authentication9
authorizations9
authorization9
apidoc8
api8
html6
execve6
google-play-services6
recursion6
Programming languages (5)
Github contributions (5)
oauthlib/oauthlib
Apr 2019 - May 2019
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 2 PRs, 22 comments in 23 days
Contributions summary:Abhishek focused on improving the OAuthlib library, specifically addressing debugging capabilities and security aspects. They implemented methods to control and utilize debug mode, which helps in sanitizing requests in non-debug environments. Furthermore, the user added tests and implemented checks to prevent the use of forbidden query parameters in various OAuth2 endpoints, including token, introspection, and revocation endpoints. They also modified request methods and updated documentation.
oauthpythonpython3python-3authentication
Abhishek8394/rusty-celery
Jul 2020 - Aug 2021
Rust implementation of Celery for producing and consuming background tasks
Contributions:4 reviews, 7 PRs, 30 pushes in 1 year 1 month
background-tasksrustpyo3celeryrust-lang
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