Hardik S.
Sr Staff Ai Engineer @Intuit
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WORK HISTORY
Sr Staff Ai Engineer @Intuit
Mountain View, CA, US
EDUCATION
San José State University
Master of Science (MS), Computer Software Engineering
Sardar Patel University
Bachelor of Engineering (B.E.), Electronics
ABOUT HARDIK S.
Principal Software Architect & Applied AI Lead | Agentic Workflows | Petabyte-Scale SystemsI architect the autonomous systems defining the Software 2.0 era. With 15+ years of experience, I specialize in the convergence of high-throughput distributed systems and production-grade Agentic AI. My focus is transitioning enterprise AI from passive \"chatbots\" to Autonomous Agents that execute multi-step, high-stakes workflows in highly regulated environments.Strategic Impact & Scale:Agentic AI & Orchestration: Currently leading the technical strategy for \"Intuit Assist,\" a multi-agent ecosystem delivering 2M+ daily financial insights. I engineered the coordination layer for autonomous agents using LangGraph, LangChain, and Model Context Protocol (MCP) to automate accounting and compliance.Data at Hyper-Scale: At Splunk, architected a Data Stream Processor (DSP) handling 10 Petabytes of data per day using Apache Pulsar, Flink, and Kafka.Cloud-Native Architecture: Successfully migrated high-volume APIs from AWS Lambda to Amazon ECS, resolving cold-start latency and slashing infrastructure costs by 40%.Search & Engagement: At Realtor.com, pioneered a Natural Language Search engine (Java/GraphQL) that drove a 4.6x increase in user engagement.Modern Technical Stack:Applied AI: Agentic Workflows (LangGraph), RAG, Multi-Model Orchestration, LLM Eval Pipelines, Vector Search (Pinecone), Prompt Engineering.Infrastructure & DevOps: Kubernetes (EKS), Terraform (IaC), ArgoCD, Docker, and Buildkite.Backend & Data: Python, Java, Go, Node.js, PostgreSQL, Redis, and DynamoDB.Core Engineering: Event-Driven Microservices, gRPC, Domain-Driven Design and High-Availability Systems.I am driven by the challenge of building governed, scalable AI platforms that solve massive real-world problems. Whether it\'s reducing bookkeeping time for millions or scaling data-in-motion to the petabyte level, I build for resilience, safety, and impact.Keywords: GenAI, Agentic AI, Distributed Systems, Cloud Architecture, LLMOps, Fintech, Scalability.
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