Raja Ray

About Raja Ray

Principal AI Architect | Transforming Fortune 500 Enterprises with GenAI & Multi-Agent SystemsI architect enterprise-scale AI/ML platforms that deliver measurable business impact. With 15+ years of progressive experience, I\'ve delivered $50M+ in business value through innovative AI implementations across semiconductor manufacturing, banking, e-commerce, and public sector domains. KEY ACHIEVEMENTS• Led 20+ cross-functional teams delivering mission-critical AI platforms with 99.9% uptime• Architected multi-agent AIOps platform reducing operational costs by 40% and accelerating model deployment by 3x• Best Paper Award Winner - ICCBP 2026 (Management Development Institute)• Delivered 25M+ operational cost savings through AI automation at onsemi• Successfully deployed 100+ production ML/AI models across industries CORE EXPERTISEGenerative AI: Azure OpenAI (GPT-4/GPT-5), Google PaLM API, LangChain, LangGraph, RAG Architecture, Prompt EngineeringAI Platforms: Azure AI Foundry, Vertex AI, Azure Cognitive Services, BigQuery ML, Google Vision AIMLOps/LLMOps: Azure ML Service, Databricks MLflow 3.0, Vertex AI, Model Registry, A/B TestingCloud & Data: Azure, GCP, AWS | Databricks Delta Lake, Snowflake, Hadoop, Spark, KafkaSpecializations: Multi-agent orchestration, Coordinator-Delegator-Worker patterns, Agent-to-Agent communication, Model Context Protocol EDUCATION & RESEARCHPhD Scholar - Management (Travel/Tourism & AI/ML)| Indian Institute of Foreign Trade (IIFT)MBA Executive | IIT Kharagpur (CGPA: 8.17/10)B.Tech - Information Technology | West Bengal University of TechnologyResearch Focus: Weather-AI-ML intersections in tourism demand forecasting using neural networks RECOGNITION• CSI Excellence Award from Union Civil Aviation Minister, Govt. of India (2012)• InformationWeek Silver Edge Award (2012)• Cloudera Community Expert - Rising Star• 7+ Industry & Academic Awards CERTIFICATIONSDatabricks Certified Solution Architect | Azure AI Engineer | Google Cloud Professional | BlueVerse GenAI Advisor | Datameer Analyst CURRENT FOCUSArchitecting agentic AI platforms | Multi-agent systems for enterprise automation | RAG & knowledge-grounded AI | MLOps modernization Let\'s connect to discuss AI transformation, research collaborations, or speaking opportunities!

Experience

1. Principal Ai Architect (Generative Ai Enterprise Ai Multi-agent Systems)

   LTIMindtree

   Jul 2023 — Present · Kolkata, IN

   Leading enterprise GenAI and multi‑agent architecture initiatives for top global search, cloud, and manufacturing clients as Principal AI Architect at LTIMindtree. Acting as Senior AI Architect, Data Architect, and Data & ML Engineer for complex R&D programs in large‑scale information retrieval, analytics, and automation.​Designing and standardizing a production‑grade LLM and Agentic AI platform for enterprise use cases, including multi‑agent orchestration and agent‑to‑agent communication. Building reusable frameworks and accelerators using LangGraph, AutoGen, Semantic Kernel, M365 Agent Toolkit, LangFlow, LangSmith, LangFuse, LangChain, MLflow, Azure AI Foundry, Azure Cosmos DB, Azure AI Search, Snowflake, Redis, and Python.​Owning end‑to‑end solution architecture on Azure, GCP, and AWS, including GenAI (GPT‑4, Gemini, PaLM, Hugging Face models), LLMOps/ML Ops (Azure ML Workspace, Vertex AI, MLflow), data platforms (Delta Lakehouse, PySpark), and cloud‑native services. Delivering scalable, secure, and compliant AI solutions for telematics analytics and other enterprise products across BFSI, manufacturing, and retail clients.​Leading a high‑performing team across data engineering, data science, and architecture, while driving stakeholder management with global product owners, architects, and business leaders. Responsible for solution design, technical governance, roadmap definition, and AI platform standardization for large strategic accounts (e.g, GME, GMA).​Managing project finances, capacity planning, and agile delivery (Capabilities, Features, User Stories, Tasks) using Targetprocess and Scrum, while ensuring adherence to data security, privacy, and compliance (e.g, GDPR) for production AI/ML solutions. Hands‑on with GenAI services (Gemini Pro, Text Bison, Code Bison, NL2SQL), deep learning frameworks (Keras, TensorFlow, PyTorch), classic ML (scikit‑learn), data and streaming stacks (EC2, Kinesis, S3), and IaC/DevOps (Terraform, GitLab CI/CD).

Education

• Sainthia Town High School

  Higher Secondary (12th), Science

  1998 — 2005

• Indian Institute of Technology, Kharagpur

  Master of Business Administration - MBA

• Indian Institute of Foreign Trade

  Doctor of Philosophy - PhD, Artificial Intelligence Weather and Tourism

• College of Engineering & Management, Kolaghat

  B.TECH, INFORMATION TECHNOLOGY

Skills

• Hadoop
• Microsoft Sql Server
• Spring Framework
• Pl/Sql
• Servlets
• Oracle
• Requirements Analysis
• Mysql
• Core Java
• Ssrs
• Java
• Unix
• Javascript
• Databases
• .net Framework
• C#
• .net
• J2ee Application Development
• Jsp
• Splunk
• Hive
• Qmf
• Tomcat
• Business Intelligence
• Spring
• Hbase
• Java Enterprise Edition
• C
• Sql
• Asp.net
• Hibernate
• Big Data
• Struts
• Web Services
• Apache Pig