AI Engineer | Football Enthusiast | Muay Thai Practitioner
AI Engineer focused on shipping production-grade AI systems: agentic RAG, multi-agent orchestration, MCP-based tooling, and fine-tuned open-source LLMs. I work end-to-end across the stack — Python and PyTorch, LangChain/LangGraph and Hugging Face, vector databases (Pinecone/Chroma), QLoRA fine-tuning, ETL pipelines, model evaluation and hallucination mitigation — turning research into practical solutions, from tourist chatbots to self-improving agents. I’m driven by continual learning at the intersection of AI, software engineering, and finance.
A Claude Code skill that explains AI/ML and LLM-engineering code clearly — to the point, in plain language, grounded in your codebase rather than generic snippets. The evolutionary next step from "caveman": where caveman compresses to save tokens, sapiens clarifies so the code is actually understood.
A durable, observable, self-improving agentic operating system you talk to — with zero dependencies. Omni turns natural-language requests into verified work: it decomposes goals into tasks, runs specialized workflows, keeps durable memory, governs risky actions, and improves itself behind an evaluation suite. Built entirely on the Node standard library.
DerpGPT is a conversational 50M parameters AI model that generates responses based on synthetic persona-chat datasets. It was trained on multi-turn dialogues but often struggles to keep things coherent. Whether it's making up bizarre responses, misunderstanding context, or just plain derping out, DerpGPT is here to entertain.
AI model built based on the transformers architecture. Made in Python with PyTorch. The code is also explained on my youtube channel, where I made a series that guides the user through the project.