π Iβm currently working on
Building end-to-end GenAI systems, including Retrieval-Augmented Generation (RAG), LLM fine-tuning (QLoRA), orchestration, and monitoring on real GPU infrastructure.
π― Iβm looking to collaborate on
Open-source projects involving LLMs, RAG pipelines, AI agents, and production AI systems.
π€ Iβm looking for help with
Improving evaluation and monitoring strategies for GenAI systems and understanding real-world failure modes.
π± Iβm currently learning
Machine learning fundamentals, deep learning, transformer architectures, and how to take GenAI systems from prototype to production.
π¬ Ask me about
RAG vs fine-tuning, LLM optimization (quantization, PEFT), FastAPI-based AI backends, and building GenAI systems end-to-end.
β‘ Fun fact
I learn AI by breaking systems and fixing them β thatβs where the real understanding comes from.
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