Chandrakant Shinde

About Chandrakant Shinde

As a VP of AI Engineering & Data Strategy, I don\'t just build AI models; I architect the governance, infrastructure, and \"Cognitive Supply Chains\" that allow regulated enterprises to trust them. My mandate is clear: bridge the gap between cutting-edge research (Agentic AI, MCP) and the rigorous demands of Financial Engineering (SEC compliance, Zero-Trust).I specialize in moving organizations from \"Probabilistic Chatbots\" to \"Deterministic Agentic Workflows.\"Most recently, I led the AI Center of Excellence (CoE) at a major FinTech firm, where I transformed legacy data pipelines into autonomous, self-correcting agentic systems. By treating AI not as a feature but as an infrastructure layer, I have delivered 40% OPEX reductions and slashed manual operational workloads by 60%. Core Architectural Expertise:Agentic AI & Orchestration: Designing Hierarchical Multi-Agent Systems (Supervisor Pattern) using LangGraph. Implementing Reflexion Loops for self-correction and Human-in-the-Loop guardrails for high-stakes financial transactions.Enterprise RAG (Retrieval-Augmented Generation): moving beyond naive vector search to Hybrid Architectures (Dense + Sparse) with Cross-Encoder Re-ranking to solve \"lost-in-the-middle\" retrieval failures.Secure Integration (MCP): Pioneering the Model Context Protocol (MCP) to decouple LLM providers from internal Data Lakes (Milvus/Neo4j), preventing vendor lock-in and accelerating API integration cycles.LLMOps & Economics: Engineering the \"Iron Triangle\" of AI (Cost, Latency, Quality). Implementing Semantic Caching, Token Budgeting, and Trajectory Evaluation (AgentOps) to make GenAI profitable at scale.Cloud FinOps: Architecting event-driven, serverless data platforms on Azure (AKS, KEDA) that scale to 15k+ users while optimizing compute spend. The \"Builder\" Mindset: Despite my executive title, I remain hands-on. I believe a VP must understand the trade-offs between a while loop and a StateGraph. Whether it\'s defining the Schema for a Patient Data Platform or auditing the \"Faithfulness Score\"(RAGAS) of a Trading Bot, I stay close to the metal where the risk lives.🤝 Let\'s Connect: I am always open to discussions on Agentic Architectures, LLM Governance, and Automating Knowledge Workflows at an enterprise scale.

Experience

1. Vice President of Engineering

   MSCI Inc.

   Dec 2023 — Present · Pune, IN

Education

• Maharashtra Institute of Technology

  Bachelor of Engineering (B.Eng.), Computer Science

  2010 — 2014

Skills

• Web Services
• Rspec
• Cascading Style Sheets (Css)
• Agile Methodologies
• Html
• Rabbitmq
• Ruby on Rails
• Parsing
• Product Design
• Software Development
• C
• C++
• Database Design
• Apis
• Rescue