Shamoon Siddiqui
Founder at Human Friendly Robotics
Marlboro Township, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolShamoon Siddiqui is a founder and seasoned software engineer with 11+ years building AI-first products, robotics platforms, and full-stack systems across startups and enterprise clients. He currently leads Human Friendly Robotics, designing ROS 2 control architectures and deploying computer vision and real-time control on NVIDIA Jetson for construction automation. Shamoon pairs deep embedded and robotics expertise with web-scale engineering—having architected Next.js/GraphQL platforms, CI/CD on GCP/AWS, and AI model pipelines using SageMaker and PyTorch. An active open-source contributor, he’s improved core NLP pattern-matching in the popular compromise repo, reflecting his hands-on contribution to language tooling. He’s also a repeat founder and technical leader who blends product instincts with rigorous field trials and a relentless focus on practical, deployable systems.
11 years of coding experience
17 years of employment as a software developer
Masters Business Administration, Masters Business Administration at Rutgers University–NewarkMS Computer Engineering, MS Computer Engineering at New Jersey Institute of TechnologyDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Rowan UniversityStaten Island Tech High School
English, Urdu
Stackoverflow
42,233reputation
6.1mreached
111answers
1,118questions
paypal
top-5%
ssh-keys
top-5%
Github Skills (18)
javascript10
regular-expression10
natural-language-processing10
nlp10
ssh-keys9
paypal9
part-of-speech9
nodejs9
named-entity-recognition8
ngsubmit6
mongodb6
codeigniter6
angularjs6
typescript6
jquery6
Programming languages (24)
Github contributions (5)
spencermountain/compromise
Oct 2018 - Oct 2018
modest natural-language processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 4 PRs, 9 comments in 2 days
Contributions summary:Shamoon primarily contributed to the project's natural language processing capabilities. Their work involved modifying and improving the `isQuestion.js` file, likely focused on question detection logic. They also added regex-related code and modified the `match` and `has` methods within the `index.js` file to enhance pattern matching functionality. These changes demonstrate a focus on refining core NLP components within the repository.
natural-language-processingnlppart-of-speechnamed-entity-recognition
gordnet/docs
Nov 2021 - Dec 2021
Contributions:7 reviews, 10 commits, 13 PRs in 22 days
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