> WHO AM I?
I build AI that works while you sleep —
agents that think, pipelines that run,
and systems that scale without hand-holding.
3 years. Software → ML → LLMs → AI → Production.
Every layer still runs under the hood.
Software Engineering
↓
Data Science & Machine Learning
↓
Deep Learning & NLP
↓
LLM Engineering & RAG Systems
↓
Agentic AI & Multi-Agent Architectures
↓
AI Automation & Workflow Engineering
↓
Production Deployment at Scale
Not a pivot — a stack. Each stage is still active beneath the current one.
|
Agentic Pipelines Autonomous agents with tool use, planning, long-term memory, and dynamic task routing. No scripts — systems that reason. RAG Applications Private knowledge retrieval at production scale. Vector stores, semantic search, embedding pipelines, context engineering. AI Automation Workflows End-to-end business automation via n8n — lead enrichment, email classification, data pipelines, outreach systems. |
LLM-Powered Products Full-stack applications with FastAPI backends, Next.js frontends, WebSocket feeds, and LLMs embedded throughout. ML Pipelines Feature engineering → model training → evaluation → deployment with real monitoring and feedback loops. Distributed Systems & Architecture Microservices, event-driven architectures, API design patterns, scalable infrastructure on AWS. |
AI / LLM / Agents
Vector & Data
Automation
Backend / Frontend
Cloud / DevOps / Systems
ML / DL
┌──────────────────────────────────────────────────────────────────┐
│ │
│ AGENTIC AI LLM SYSTEMS │
│ ────────── ─────────── │
│ Multi-agent orchestration RAG architecture & retrieval │
│ Tool use + planning Embedding pipeline design │
│ Stateful LangGraph flows Context & prompt engineering │
│ MCP integration Vector DB selection & tuning │
│ Memory-backed agents Fine-tuning & evaluation │
│ │
│ AUTOMATION ENGINEERING SOFTWARE & SYSTEMS │
│ ────────────────────── ───────────────────── │
│ n8n agentic workflows Distributed system design │
│ Business process automation Microservices architecture │
│ API integration patterns Event-driven systems │
│ Scalable pipeline design System reliability & observability │
│ │
└──────────────────────────────────────────────────────────────────┘
current_state = {
"building" : "Production AI systems for real business workflows",
"deepening" : "Multi-agent architectures · LangGraph · MCP",
"engineering" : "Distributed AI pipelines + system reliability",
"contributing" : "Open to collaborating on large-scale AI/OSS projects",
"exploring" : "Blockchain & WEB 3",
"status" : "AVAILABLE"
}I actively look for opportunities to contribute to ambitious, large-scale projects — open source or otherwise.
If you're building infrastructure for AI agents, LLM tooling, automation platforms, or anything that ships real AI at scale — I want to be part of it.
What I bring to a team:
- End-to-end system thinking from data ingestion to production deployment
- Deep hands-on experience across the full agentic AI stack
- A bias toward building things that actually work in the real world
- Strong software engineering fundamentals backing every AI layer
Built systems. Shipped products. Still going.