RAMESH CHINNARAJU

Engineering leader with over 25 years of expertise in innovation and solution architecture, currently leading enterprise initiatives in Generative AI and LLM-based solutions. Proven track record in adopting advanced technologies that enhance business value in regulated industries. Proficient in architecting AI-driven platforms using Azure OpenAI and other technologies, focusing on scalable enterprise deployments. Experienced in delivering transformative solutions across various sectors, including Pharma Manufacturing and Healthcare, with strong leadership in technical strategy and project delivery.

• Microsoft Certified Solution Developer (MCSD), Microsoft Corporation
• BASICS OF RETAILING (NRF-EXT.), National Retail Federation – US

Guiding the direction of enterprise Generative AI initiatives., Overseeing use of Azure OpenAI, LLaMA, and open-source LLMs., Leading the planning of Retrieval-Augmented Generation (RAG) systems., Defining prompt strategies for effective LLM interactions., Supervising ingestion of enterprise data into AI systems., Directing AI infrastructure choices on Azure., Setting AI lifecycle standards from PoC to production., Leading collaboration between engineering, data science, and product teams.

• Valgenesis Technologies Pvt Ltd, Senior Director- Engineering, R&D and Innovation, 11/2021 to present, Spearheaded the establishment of the R&D division, setting a clear vision and mission, and recruiting a high-performing engineering team.
• Patent Awarded (US012332772B1) on July-2025 - Automated Test Case Validation Execution corresponding to a defined validation protocol - Served as the technical architect, responsible for the overall solution design, innovation and architecture using Generative AI.
• Architected a comprehensive knowledge management solution, leveraging generative AI and LLMs to create an intelligent bot capable of advanced information retrieval and processing using RAG.
• Developed a cutting-edge, low-code/no-code IoT platform for Pharma 4.0.
• Led the strategic migration of a massive validation lifecycle management product from a monolithic architecture to a modern, cloud-based microservices SaaS architecture.

Python, .NET, ReactJS, JavaScript, Azure, AWS, Azure Event Hub, Azure Functions, Cosmodb, Stream Analytics, Azure Datalake, Datafactory, Databricks, TimeScaleDB, Azure API Gateway, Citus (Hyper Scalable Postgres), Azure Open AI, LLM, LangChain, LangGraph, QDrant (Vector database), FAISS, Losant, IBM Node-Red, AWS IoT, Azure IoT, ThingWorx, Unity3D, AR Foundation, AR Kit, AR Core, WebRTC, Vuforia, Azure DevOps, Git, Docker, SQL Server, Postgres, Mongo Atlas, Azure Cosmos, Neo4J, MQTT, HTTPS, TCP/IP, OPC, MODBUS, BACnet, RabbitMQ, Kafka, Azure Event Hub, Apache Spark, Azure Stream Analytics

• Val-Bot, an AI validation assistant, represents a significant leap beyond conventional validation approaches. It automates the authoring, execution, review, and compliance verification steps with LLM-driven intelligence, cutting errors, boosting speed, and enhancing audit readiness
• Val-Gateway, a smart IoT platform to collect pharma manufacturing data for eBMR, CPV, APQR, and BI
• iCPV is a smart pharmaceutical manufacturing platform that automates continued process verification using multivariate analytics, SPC tools, and real-time monitoring of CPPs and CQAs, powered by a homegrown IoT middleware (V-Gateway). It integrates seamlessly with equipment, PLCs, SCADA, ERP, LIMS, and more to centralize data and enhance visibility, with predictive insights, guided workflows, customizable reports, and proactive alerts, iCPV ensures compliance, operational excellence, and scalable CPV management
• Smart facility management, with IoT, AR/VR, digital twin
• Oil and gas pump jack live monitoring, mixed reality-based digital twin for Microsoft HoloLens
• DICOM Visualizer, iOS, and HoloLens-based AR/MR app to visualize the 3D X-ray (DICOM) files
• Smart Precision Agriculture, sensor-based IoT platform
• Smart manufacturing, sensor-based live monitoring, and M2M communication
• Remote assistance, an AR-based app built with Unity3D and Azure Cloud that delivers immersive assembly, disassembly, and troubleshooting instructions