Rakesh Nain

Background

About Rakesh Nain

I’m a Data Scientist with 5+ years of experience designing and deploying AI solutions across Generative AI, LLMs, Computer Vision, and Predictive Modeling. For the past 3 years, my focus has been exclusively on building state-of-the-art Generative AI systems that drive real business impact at scale.At Tiger Analytics, I lead the development of a robust 'LLM Observability Platform' that continuously monitors and evaluates LLMs in production. I’ve designed a suite of custom LLM evaluation metrics, built Agentic RAG pipelines, and developed SQL Agents that allow natural language interaction with enterprise data. These solutions are deployed on AWS, where I manage the full ML lifecycle from prototyping to scalable cloud deployment, ensuring high availability and performance in production environments.Previously at R Systems, I was involved in architecting and deploying Generative AI applications—particularly Retrieval-Augmented Generation (RAG) systems—on Azure Cloud. My work combined prompt engineering, API integration, and cloud orchestration to create scalable solutions that significantly improved generative accuracy for enterprise clients.Earlier, at Intello Labs, I worked on Computer Vision solutions for object detection and quality analysis in the agriculture and retail supply chain sectors, using deep learning to turn visual data into operational insights.I hold a Master’s degree in Data Science from Monash University (Melbourne), backed by a strong foundation in mathematics, machine learning, and deep learning. I enjoy bridging the gap between business objectives and AI innovation—constantly learning, building, and refining solutions that deliver measurable value.Core Competencies:* Generative AI & Large Language Models (LLMs)* LLM Observability & Custom Evaluation Metrics* Retrieval-Augmented Generation (RAG) & SQL Agents* Cloud ML Deployment: AWS (Tiger Analytics), Azure (R Systems)* Computer Vision & Deep Learning (Intello Labs)* Predictive Modeling & Applied Machine Learning* Scalable AI/ML Solution Design, MLOps, and Deployment