🛠️ I’m currently working on
Building GenAI applications using LLMs (GPT-style models), RAG pipelines, agents, and data-driven workflows — focusing on real-world use cases like automation, analytics, and decision support.
🤝 I’m looking to collaborate on
Open-source or experimental projects involving LLMs, AI agents, RAG systems, embeddings, prompt engineering, and AI tooling.
🧠 I’m looking for help with
Scaling GenAI systems, evaluation of LLM outputs, agent reliability, and designing production-ready AI architectures.
🌱 I’m currently learning
Advanced LLM internals, vector databases, model evaluation, fine-tuning strategies, and multi-agent systems.
💬 Ask me about
GenAI engineering, LLM workflows, RAG vs fine-tuning, agents, Python for AI, and bridging traditional backend systems with AI.
⚡ Fun fact
I enjoy breaking down complex AI concepts into simple, practical explanations — and I’m more excited about how AI is built than just using it 😄
