Kaivalya Patil

WORK HISTORY

EDUCATION

ABOUT KAIVALYA PATIL

Senior Machine Learning Engineer with 4 years of experience building and deploying production-grade Machine Learning, Generative AI, and Agentic AI systems in the financial domain. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and scalable ML architectures that operate reliably at enterprise scale.Currently working at Morningstar, where I design and own end-to-end AI systems and data science pipelines that process 10K+ financial documents per day with high accuracy, low latency, and full observability. My work spans document intelligence, LLM fine-tuning, multi-agent and agentic AI workflows, OCR pipelines, semantic retrieval, and MLOps/LLMOps across AWS and GCP.I have strong experience converting unstructured financial data into structured, validated outputs using LLMs, RAG pipelines, hybrid confidence scoring, rule-based validation, and retrieval optimization. I have built AI systems that combine classical machine learning, deep learning, and agent-based reasoning to deliver measurable business impact.Key strengths:• Machine Learning, Data Science, and Statistical Modeling • Generative AI, Agentic AI, and Multi-Agent Systems (LLMs, GPT, Gemini, Phi-3, HuggingFace) • Retrieval-Augmented Generation (RAG) and vector search optimization • NLP, NER, OCR, and document intelligence • Scalable ML systems using Kafka, FastAPI, and cloud-native architectures • MLOps and LLMOps for production deployment, monitoring, and reliability Open to opportunities in Data Science, Machine Learning Engineering, Generative AI, Agentic AI, AI Platform, and Applied AI roles.