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Raviteja

Raviteja

Full-Stack AI Engineer | React · FastAPI · LangChain · LLM Agents · RAG

Talent
HyderabadMember since July 5, 2026
TypeScriptVitePythonFastAPIREST APIsWebSocketMicroservicesLangChainRAGPrompt EngineeringAzure OpenAINL-to-SQLSQLCosmosDB (Vector)SnowflakeClaude CodeCursorSystem DesignMicrosoft FabricDatabricksAzureDockerCI/CDObservability
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TypeScriptVitePythonFastAPIREST APIs

About

Full-Stack AI Engineer with 3+ years building and shipping production AI products end-to-end across frontend, backend, and AI layers. Core contributor at Lucid Data+AI Hub, where I own clean React/TypeScript UIs, tested FastAPI services, and LLM-powered agentic systems that real enterprise users depend on. Shipped two flagship products — including Agent Mart Studio, live on Azure Marketplace and co-authored on the official Microsoft Fabric Blog with Microsoft.

Strong in LangChain, RAG, prompt engineering, agent orchestration, and system design, with daily hands-on use of Claude Code, Cursor, and Copilot.

Experience

Full-Stack AI Engineer at Lucid Data+AI Hub (2024-06 – Present)

  • Built full-stack features end-to-end across React frontend, FastAPI backend, data, and AI layers for two production enterprise products — owning architecture and system-design calls on API structure, scale, and cost trade-offs.
  • Designed and shipped agentic AI systems using LangChain and modern orchestration patterns — Agent Mart Studio lets business users build and deploy multi-action AI agents (email, Teams, Power BI, external APIs) on enterprise data with no code. Published on Azure Marketplace and co-authored on the official Microsoft Fabric Blog with Microsoft.
  • Built a production LLM chatbot with a real-time WebSocket backend, CosmosDB vector store, and Azure OpenAI embeddings (RAG) — letting non-technical users query enterprise datasets in plain English, cutting SQL authoring time by an estimated 70%.
  • Owned 100% of the React + Vite/TypeScript frontend (11 platform modules) and all FastAPI backend services for the Data Lake Accelerator, deployed to Fortune 500 clients including Heritage Groceries and Advanced Energies.
  • Delivered LLM features with prompt engineering: NL-to-SQL engine, schema-to-entity mapping, automated PySpark/SQL ETL code generation, and AI-generated business use-case recommendations.
  • Designed CI/CD pipelines with structured logging and observability across distributed microservices on Azure; reviewed code, mentored junior teammates, and led technical demos for Fortune 500 onboarding.

Software Engineer Intern → Full-Time at Lucid Data+AI Hub (2023-03 – 2024-05)

Internship converted to full-time after 15 months based on direct product contributions to the Data Lake Accelerator.

  • Shipped React frontend components across platform modules; refactored class components to modern hooks/functional patterns, improving maintainability.
  • Built SQL queries and ETL transformations for CSV/Excel ingestion — schema validation, data cleaning, and loading into the production store.
  • Contributed to code reviews, sprint planning, and debugging; translated UI mockups into responsive, production-ready interfaces.

Education

B.Tech in Electrical & Electronics Engineering – Kakatiya University (2024-05)

Diploma in Electrical & Electronics Engineering – VMR Polytechnic (2021-05)

Skills

Full-Stack AI EngineerReactFastAPILangChainLLM AgentsRAG

Reviews

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