🔨 I'm currently working on:
Building intelligent full-stack applications that leverage LLMs and generative AI to solve real-world problems. Currently experimenting with RAG systems, AI agents, and seamless integrations between modern web frameworks and AI APIs.
🤝 I'm looking to collaborate on:
Open-source projects at the intersection of full-stack development and AI - whether it's building developer tools powered by LLMs, creating innovative AI-first applications, or contributing to frameworks that make AI more accessible to developers.
💛 I'm looking for help with:
Optimizing AI model performance in production environments, scaling vector databases efficiently, and exploring best practices for prompt engineering in enterprise applications.
🌱 I'm currently learning:
Advanced prompt engineering techniques, fine-tuning strategies for domain-specific LLMs, and the latest developments in AI agents and multi-modal models. Also diving deeper into MLOps practices and responsible AI development.
💬 Ask me about:
Full-stack architecture, integrating AI into web applications, working with various LLM APIs (OpenAI, Anthropic, etc.), building conversational interfaces, or anything related to React, Node.js, Python, and AI/ML workflows.
⚡ Fun fact:
I believe the best AI applications are the ones where the AI is invisible - seamlessly enhancing user experience without getting in the way. Also, I probably spend more time crafting the perfect system prompt than writing actual code! 🤖
