I'm an LLM independent researcher and developer relations, working at the intersection of large language models, cloud infrastructure, and Web3 ecosystems. Previously Head DevRel at TARS AI and DevRel Virtuals Protocol / PathDAO, ML Engineer at Accenture, and Lead ML Engineer at Omdena in collaboration with UNICEF, ITU, and UNDP — I've spent years bridging cutting-edge AI research and the builders who bring it to life, from onboarding 5,000+ developers across Southeast Asia to co-authoring accepted research at international AI conferences.
I believe in building things that matter, explaining them clearly, and sharing them openly. Open to research collaborations in LLM interpretability, RAG architectures, and agentic systems.
Developer Relations → Community building, technical content, conference talks
LLM Research → RAG systems, retrieval evaluation, scientific QA
Cloud ML → AWS & GCP deployments, data pipelines at scale
Web3 x AI → Etherium, Polkadot, Base, Solidity, Rust, Solana, Avalanche, Stellar, agentic frameworks
Applied Security → Fraud detection, TensorFlow-based verification, encryption
Languages
AI / ML
Research & ML Tools
Cloud & Infrastructure
DevOps & CI/CD
Data & Databases
Web3
Frontend & Dev
- Speaker / presenter at 100+ conferences across AI & Web3 ecosystems (Local and International)
- Facilitated Solidity Fundamentals workshops
- Led SEA developer community growth — 5,000+ builders onboarded
[1] Split-Brain RAG: Why Large Language Models Are Not Enough for Scientific Question Answering Armielyn Obinguar & Jodi Moselle Alcantara — Accepted at NIAI 2026 Explores hybrid retrieval-augmented generation architectures for scientific QA, introducing the Value Ratio metric for evaluating RAG pipeline fidelity.
"Build in public. Teach what you know. Keep going."