Abhinav G

AI/ML Engineer with 8+ years of experience building end-to-end data and AI systems across cloud and enterprise platforms. My background spans data engineering, machine learning, and now agentic AI and LLM-based systems. Recently, I’ve been focused on RAG pipelines and multi-agent AI systems for document intelligence and automation, working with LLMs like GPT-4 and building scalable, production-ready solutions with strong emphasis on reliability, evaluation, and performance. Previously, I worked on customer analytics and churn prediction, developing feature engineering pipelines, training models, and deploying them using MLOps practices. I’ve also built large-scale data pipelines supporting analytics, fraud detection, and business intelligence. I enjoy building systems that move from idea to production and deliver real business impact. Tech: Python, SQL, LLMs, RAG, LangChain/LangGraph, FAISS, Azure OpenAI, AWS/Azure, Docker, Kubernetes, MLflow.