Jayesh Kumpawat

AI/ML Engineer working at the intersection of generative AI, NLP, and multimodal systems. I've spent the past few years building across a range of ML problems — from LLM-powered document generation with agentic workflows to multilingual speech recognition for code-mixed Indian languages, and from adversarial domain adaptation in audio to reinforcement learning for path optimization. What ties these together: I'm drawn to problems where unstructured, messy inputs — documents, speech, audio, text — need to be understood, structured, and acted on. The most impactful system I've worked on combined LLMs, RAG, and structured extraction into a pipeline that reduced clinical document authoring time by 30–90% depending on complexity. My foundation in this comes from studying Data Science & Engineering (minor: EE & CS) at IISER Bhopal, where I had the chance to work on research across NLP, audio signal processing, computer vision, and sequential decision-making — each one adding a different lens to how I think about ML problems. Focus areas: Generative AI, Agentic AI, LLM Systems, NLP, Deep Learning, Multimodal Learning, Speech Recognition, Reinforcement Learning, Robotics. Open to AI/ML Engineer, GenAI Engineer, LLM Engineer, and Data Scientist roles. 📄 Resume: https://tinyurl.com/resumeJayesh