name: Mohammed Fardeen Ahmed
role: Full-Stack Software Engineer & AI Researcher
location: Open to Worldwide / Remote & Hybrid Opportunities
passion: Building scalable, intelligent, and human-centric software systems
current_focus:
- Autonomous AI Agents & Real-Time Recommendation Engines
- Machine Learning Forensics, Circadian Entropy & Botnet Topologies
philosophy: "Bridging the gap between mathematical rigor, resilient architecture, and delightful UX."
status: π Open to innovative engineering roles & impactful collaborations- π Currently Building:
- GuidanceAI β An AI-driven educational and career trajectory platform featuring multi-persona AI counselors, real-time diagnostic quiz scoring, skill-gap analysis, and tailored career roadmaps.
- CyberSentry AI β An analytical & machine learning platform engineered to detect automated botnet clusters, Sybil accounts, and astroturfing campaigns with circadian sleep entropy and 2D physics graph topologies.
- π§ Exploring & Honing: Advanced Agentic Workflows, Graph Neural Networks, Distributed Systems, and Cloud-Native Containerization.
- π¬ Ask Me About: JavaScript/TypeScript, Python, Node.js, System Architecture, Machine Learning Forensics, and Clean UI/UX Design.
- β‘ Fun Fact: I find circadian rhythm activity histograms just as fascinating as real-time physics visualizations!
| Project | Description | Tech Stack | Highlights |
|---|---|---|---|
| π§ GuidanceAI | AI-Powered Educational & Career Trajectory Intelligence System | JavaScript Node.js Express Docker Web APIs |
β’ 4 Specialized Counselor Personas β’ Real-time Compatibility Quiz β’ Skill Gap Dial & Roadmaps |
| π‘οΈ CyberSentry AI | Analytical & Machine Learning Platform for Fake Social Media Account & Sybil Bot Detection | JavaScript ML Heuristics Graph Theory Poisson Variance |
β’ Live Demo Available β’ Circadian Sleep Entropy (24h) β’ Interactive Sybil Network Graph |