I speak fluent Python, regularly converse in PyTorch, and sometimes even in human (especially when coffee is involved). What I Do: As a Data Scientist in Conversational Intelligence, I am building systems that don’t just understand language - they listen, interpret, and respond with context. My day job involves turning the chaos of natural language into structured insights using Generative AI, Large Language Models, and Multi-Modal Learning. By night, I'm probably battling a model that insists its loss function is just "misunderstood." Recent Adventures: Fine-tuning LLMs to make enterprise conversations smarter, faster, and actually helpful. Bridging sales talk with semantic understanding because pitch analysis deserves more than keywords. Teaching GANs to generate medical MRI scans (because AI + healthcare = 🏥💙). Philosophy: Conversation is more than text - it's nuance, tone, and timing. "Works on my machine" isn’t a deliverable. Structured thinking beats structured data every time. Let’s Connect: Whether you're exploring LLMs in production, multi-agent workflows, or just want to debate the ethics of talking to your models drop me a message.