Shriram Jogdand
Ai Architect (Client - Bank of America) @Infosys
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WORK HISTORY
Ai Architect (Client - Bank of America) @Infosys
Calgary, AB, CA
Project: Genesis - Enterprise AI Platform• Conceptualized and built configurable RAG Evaluation and Retrieval frameworks as core platform components, reused across LOBs.• Designed and implemented multi‑agent RAG pipelines leveraging MCP‑aligned tool abstractions, enabling standardized agent‑tool interaction, extensibility, and controlled execution across use cases.• Established workflow orchestration patterns for agent coordination, including retrieval, reasoning, evaluation, and post‑processing stages.• Led hands‑on delivery across Python, GenAI workflows, agent frameworks, and tooling ecosystems while mentoring engineers and resolving complex production challenges.• Evolved a standard RAG solution into a production‑ready Agentic RAG architecture. Implemented a Knowledge Graph–driven RAG retrieval solution using TigerGraph.
EDUCATION
Government College of Engineering Aurangabad
Bachelor of Engineering - BE
ABOUT SHRIRAM JOGDAND
I am a Generative AI Lead and Data Scientist with 18 years of experience, including the past 4 years specializing in enterprise-grade Generative AI solutions. My expertise spans RAG pipelines, cloud-native AI architectures, and production-scale deployments across consulting, auditing, and banking domains.At Infosys, I have led multiple high-impact AI initiatives, including- Designing and deploying RAG systems integrated with Azure AI Search, Cosmos DB, and OpenAI models, improving chatbot adaptability by 50%- Building a multimodal GenAI chatbot (text, tables, images) deployed on Azure Kubernetes and AWS Bedrock for audit workflows- Creating a RAG evaluation framework using RAGAS metrics, dashboards, and automated Q&A generation to ensure accuracy and compliance- Developing an enterprise prompt management platform with prompt versioning and evaluation using Promptfoo- Delivering computer vision solutions for autonomous retail stores using transformer-based models (DeTr)-Leading large-scale data analytics projects in banking, driving strategic insights for card migration and operational planning.I am passionate about bridging the gap between AI innovation and real-world business outcomes, ensuring solutions are explainable, scalable, and compliant. Recognized with multiple awards for technical excellence and client delivery, I also hold certifications in Azure AI, Azure Data, and AWS Cloud. SpecialtiesGenerative AI / RAG Systems: LangChain, LlamaIndex, Agentic AI, GraphRAGLLMs & Embeddings: OpenAI GPT, Cohere RerankerCloud AI Platforms: Azure AI, AWS Bedrock, SageMakerDatabases: Cosmos DB, Azure AI Search, FAISS, Pinecone, Qdrant, Deployment & MLOps: FastAPI, Docker, Kubernetes, GitOpsDomains: Consulting, Audit, Banking, Telecom
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