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Math → Data → ML → LLM/AI Engineer
Mathematics graduate turned LLM Engineer. I build AI systems that survive contact with real-world data.
- 🔭 Deep in RAG pipelines, AI Agents & Agentic workflows right now
- 🧪 Experimenting with model distillation and inference optimization
- 🛡️ Red teaming LLMs to find where they break — before users do
- ⚙️ Care about LLMOps: deployment, monitoring, cost efficiency
- 📐 Classic ML & Deep Learning still have a place in my heart
- 🏗️ Occasionally building data pipelines because good models need good data
LLM & AI
ML / DL
Infrastructure & MLOps
Vector DBs
Languages
Detailed breakdown of commits, PRs, reviews, and more — powered by lowlighter/metrics
current_focus= {
"RAG": ["advanced chunking", "hybrid search", "re-ranking"],
"Agents": ["multi-agent orchestration", "tool use", "memory systems"],
"LLMOps": ["inference optimization", "cost monitoring", "eval pipelines"],
"Red Team": ["prompt injection", "jailbreak patterns", "safety evals"],
}(coming soon — pinning the ones worth showing)
| Project | Stack | What it does |
|---|---|---|
| 🔗 AI Learning Platform | React + Vite + FastAPI | Interactive platform for learning AI/ML concepts |
| 🔗 Portfolio Web | Next.js + TypeScript | Personal site with terminal aesthetic |
| 🔗 More in repos → | — | Experiments in RAG, agents, and ML |
"Good models deserve good infrastructure."
Let's build something real.