Venkatkumar R

About Venkatkumar R

Hi, I’m an AI Engineer and Applied Researcher focused on building intelligent systems that translate advanced research into real-world, production-scale impact. I hold an M.Tech. in Artificial Intelligence and Machine Learning from BITS Pilani, with a strong foundation in machine learning, deep learning, applied AI research, and AI security.I actively compete in machine learning and deep learning competitions, primarily in research and feature engineering-driven computer vision, audio processing, and NLP problems, with experience across 100+ ML/DL competitions. This has strengthened my expertise in data-centric AI, feature engineering, model optimization, ensembling, and robust validation strategies.Professionally, I have built and deployed AI solutions across healthcare, manufacturing, automotive, and finance. My work includes real-time video analytics systems, 2D and 3D computer vision pipelines, NeRF-based 3D reconstruction and photogrammetry, intelligent document automation using cloud AI services, financial time-series forecasting, agentic LLM workflows, and multi-component AI pipelines (MCP).My technical expertise spans Generative AI, deep learning, computer vision, NLP, financial AI, LLMs, agentic AI systems, MCP, and AI security. I have hands-on experience deploying models end-to-end on cloud platforms (Azure, AWS, Databricks) and edge devices (NVIDIA Jetson, Raspberry Pi), covering the full AI lifecycle from data engineering and model development to MLOps, deployment, and monitoring.My research interests include 2D and 3D computer vision, generative AI, agentic LLM systems, AI security, financial AI, hyperparameter optimization, and pattern recognition. I have published research in arXiv, and IRJIET, and hold certifications including TensorFlow Developer, Azure AI Engineer, and NVIDIA Jetson AI Specialist.I enjoy working at the intersection of research, engineering, and business impact, helping organizations turn AI ideas into scalable, real-world products. Portfolio: https://vk-ant.github.io/Venkatkumar🤝 Let’s connect and build intelligent systems that scale.

Experience

1. Generative Ai Engineer Business Analyst

   EXL

   Dec 2023 — Present · Noida, IN

   Developed an AI-powered medical credentialing extraction system using Azure OpenAI (GPT5), Document Intelligence, Azure AI Search and RAG architecture. The system automates extraction of provider credentials from healthcare documents with 70% accuracy, features flexible field configuration and automated data lifecycle management.Owned the end-to-end design, development, and production deployment of a real-time Generative AI–powered document parsing and intelligence platform for a major U.S. healthcare insurance client. Built on Azure OpenAI, NLP, and computer vision, the system uses a unified, extensible codebase to extract and structure data from complex documents including invoices, CMS-1500 forms, and other healthcare documents enabling new document types through configuration rather than redevelopment. The platform delivers >95% confidence in extraction, integrates with cloud storage, implements secure key management via Azure Key Vault, automates archival and logging, and is deployed via a full Azure DevOps CI/CD pipeline, providing a scalable enterprise solution for document processing.Built a scalable AI-driven document classification system enabling business teams to add new document categories instantly via reference updates, with no prompt or code changes, achieving >97% accuracy in production.Designed and built a custom AI Agent Builder on Databricks, enabling business leaders to ask natural-language questions and receive accurate, context-aware answers grounded in enterprise data. Implemented a Retrieval-Augmented Generation (RAG) framework and deployed the solution as a Databricks App, supporting governed, reusable, and scalable AI agents.Implemented an Intelligent Document Processing (IDP) solution using Azure Document Intelligence, Power Apps, Power Automate, and SharePoint to automate document workflows and reduce manual effort.Experienced in RCM analytics and building Generative AI pipelines for healthcare automation and insights.

Education

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Artificial Intelligence and Machine learning

• Udacity

  Nano Degree, Self Driving Car Engineer

• SACS MAVMM Engineering College

  Bachelor's degree, Electronics and Communication Engineering

• Udacity

  Nano Degree, Introduction of Self driving car