With over four years of hands-on experience in ML, NLP, and document AI, I have built and deployed production-grade systems that align closely with the challenges of your role. At JeevaHealth.ai, I architected AI agents leveraging LLMs, RAG pipelines, and vector search systems for context-aware, multimodal support, fine-tuned models on custom datasets, and implemented prompt engineering frameworks for both language and vision tasks, integrating them into live customer-facing workflows. My background includes extensive OCR and document understanding work with LayoutLM, highlighted by winning the Intellect AI Hackathon for an advanced extraction system that later earned me a job offer. I bring expertise with PyTorch, TensorFlow, OpenAI APIs, Claude, and agentic toolkits, along with a strong foundation in multimodal models and visual transformers, spanning end-to-end pipelines from dataset creation and preprocessing to inference optimization and monitoring. Additionally, I have four years of AWS experience building scalable, secure ML services and domain exposure through a supply chain analyst internship, which gave me insight into operational and financial complexities in logistics.More...