const rizal = {
name: "Mochamad Rizal Fauzan",
role: ["AI Engineer", "Computer Vision Researcher", "Software Developer"],
location: "Indonesia 🇮🇩",
focus: {
research: ["Lightweight Deep Learning", "Knowledge Distillation", "RGB-T Perception", "Person ReID"],
engineering: ["LLM & RAG Systems", "Edge AI Deployment", "Industrial IoT", "Full-Stack AI Apps"],
},
mission: "Build intelligent systems that are accurate, efficient, explainable — and actually useful",
currentlyBuilding: "RAG-based expert assistants + lightweight vision models for the edge",
funFact: "I turn research papers into running systems before the coffee gets cold ☕",
};I work at the intersection of deep learning, computer vision, embedded systems, IoT, LLMs, and retrieval-augmented generation — transforming ideas into working systems: from model design and experimental validation, all the way to deployment, documentation, and reproducible engineering workflows.
AI Research · Computer Vision · Embedded AI · Industrial IoT · LLM/RAG Systems · Software Engineering
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A reproducible benchmark comparing lightweight CNN architectures for image classification under unified training conditions.
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Research-grade analysis of vanilla knowledge distillation, temperature scaling, and loss balancing in compact CNNs on CIFAR-100.
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A full-stack AI academic writing assistant designed for Indonesian students, researchers, and journal authors.
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Person re-identification combining deep visual embeddings with camera transition priors, temporal priors, and Bayesian re-ranking.
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A responsive web tool for analyzing Instagram followers/following data and identifying non-followback accounts from exported JSON files.
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A Telegram-first task copilot that turns messy chat messages into structured reminders, summaries, drafts, and task actions.
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┌──────────────────────────────────────────────────────────────────────────┐
│ Research → Robust AI · CV · lightweight deep learning · RGB-T │
│ Engineering → LLM/RAG systems · local AI · industrial assistants │
│ Development → Python backends · Dockerized AI · full-stack AI apps │
│ Collaboration → Research papers · open-source AI · applied industry AI │
└──────────────────────────────────────────────────────────────────────────┘
- 🛠️ Building reliable AI systems for real-world deployment
- 🪶 Designing lightweight and efficient computer vision models
- 📚 Developing RAG-based expert assistants for technical & industrial domains
- 🔁 Improving reproducibility, documentation & evaluation quality in AI research
- 📡 Exploring edge AI pipelines for embedded and IoT environments
I'm open to meaningful collaboration in AI research, computer vision, embedded AI, industrial IoT, LLM/RAG systems, technical writing, and applied software development — especially projects that combine research depth with real-world engineering impact.
