I'm Vishwa — Senior Data Scientist with 7 years of hands-on experience building AI systems across enterprise clients in financial services, healthcare, retail, and automotive. My current work focuses on the infrastructure side of AI: semantic layers, knowledge graphs, ontology design, and metadata engineering using Collibra. I built the AI-ready data foundation for a multi-trillion dollar asset manager — the kind of work that makes AI agents and RAG systems actually reliable instead of just demo-ready. Before that, I spent years doing the full spectrum: computer vision models deployed on edge devices for surgical robotics, deep reinforcement learning for supply chain optimization at one of the world's largest retailers, GenAI backend platforms, enterprise chatbots, document intelligence systems, and MLOps pipelines. I'm not a one-trick specialist. I've shipped CNNs on NVIDIA Jetson boards, fine-tuned LLMs, trained Graph Neural Networks with weak supervision, built RAG systems on Microsoft Teams, and reduced manual effort by 95% with a generative AI mapping tool. I've also been in the room for sales pitches, client presentations, and architecture reviews — so I understand the business side too. What I work with: Python, PyTorch, TensorFlow, LangChain, LangGraph, OpenAI/Anthropic models, RAG, GraphRAG, PEFT/LoRA, AI Agents (multi-agent systems, MCP, ReAct), Graph Neural Networks, Knowledge Graphs, Semantic Layers, Collibra, Docker, AWS, Azure, model optimization (quantization, pruning, TensorRT, ONNX), deep RL, computer vision, NLP. How I can help you: I've been on both sides of the hiring process — I've prepped for and cleared interviews at top firms, and I've evaluated candidates myself. I know what actually matters versus what people think matters. If you're preparing for AI/ML interviews, I'll run realistic mock rounds and tell you where you're losing points. If your resume needs work, I'll help you frame your experience so it reads well to both humans and ATS systems. If you're a professional or founder trying to figure out where GenAI fits into your product or workflow, I can help you cut through the noise — I've built these systems end-to-end and I know what's real versus what's hype. And if you're early in your career and just need someone to help you make sense of the landscape, I'm happy to do that too.