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How I built an AI-powered engineering team that assembles backend, frontend, and test modules on demand—using local LLMs with Ollama, dynamic templates, and robust Docker sandboxing.

How I built an intelligent chatbot to represent my professional brand on my website using context injection, structured outputs, and an evaluator LLM—all without needing vector databases or RAG.

A hands-on look at fine-tuning open source AI models using LoRA/QLoRA techniques on Amazon product data. I discovered how a fine-tuned 8B parameter model outperformed GPT-4o and Claude, while navigating the practical challenges of limited GPU resources and hyperparameter optimization.

A hands-on look at fine-tuning open source AI models using LoRA/QLoRA techniques on Amazon product data. I discovered how a fine-tuned 8B parameter model outperformed GPT-4o and Claude, while navigating the practical challenges of limited GPU resources and hyperparameter optimization.

I built my first Retrieval-Augmented Generation (RAG) system - a student enrollment chatbot that demonstrates how AI can improve how educational institutions serve prospective students. The system combines natural language processing with a knowledge base to provide instant, accurate responses to student inquiries.