🎓 Final-year Computer Science student — King Khalid University
🧠 AI & Backend Engineer (research-driven, production-minded)
🏫 President of the Programming Club @ KKU
My focus is AI, ML, Computer Vision, LLMs, and backend-heavy architectures —
clean code, explainable models, and real-world impact.
I like my models interpretable, my pipelines modular, and my bugs reproducible.
🧠 EduSense (Graduation Project)
Real-time classroom engagement detection using facial emotion recognition, affective computing, and a RAG pipeline that generates personalised Jupyter notebooks via the Claude API.
- Computer Vision & multimodal signals
- Interpretable ML (KANs)
- RAG pipelines
🤖 LLMs & NLP
Retrieval-Augmented Generation, prompt engineering & evaluation, research-oriented experimentation.
🔍 Research × Engineering
Turning papers into code, then turning that code into something actually usable.
Languages
AI / ML
Computer Vision · LLMs · RAG · Heuristics + ML hybrids
Backend & Tools
- Clean architecture is a lifestyle
- Coffee is a system dependency
- Long-term roadmap: fewer bugs, more Harleys
- I love V-Twins almost as much as clean backend logic
- 🐦 Twitter / X
- ✉️ Email: Saeedbinmoha20@gmail.com
- 🧠 Research & AI collabs: always open
"Build systems like your future depends on them — because it does."