Muhammad Mohid

I’m an Artificial Intelligence undergraduate with hands-on experience in AI data pipelines, plus a strong portfolio of full-stack, systems, and machine learning projects. I’m currently working as a Part-time Data Annotator at Jinn Labs, where I label and structure training datasets for computer vision and NLP using industry-standard tools and quality-control workflows.

I build end-to-end solutions that connect real-time backends with practical AI features—like LUME, a cross-platform student productivity app with Firebase sync and Gemini AI integration. I also enjoy security and robustness, demonstrated in Nuclear Launch Codes with multi-party 3-of-5 authorization, Google OAuth 2.0, TOTP 2FA, and full audit logging.

Alongside applied development in Next.js and Flutter, I’ve trained a CNN helmet detector from scratch and implemented lower-level systems like a custom file system for fast path lookups—always aiming for clean design, testability, and reliability.