available for new engagements

AI systems that
actually ship.

I'm Anuj Mendhule, Azure AI Solutions Architect. For 9+ years I've taken AI and data platforms across the gap where most projects die: between the demo and production. RAG pipelines that stay accurate, integration that doesn't page anyone at 2 AM, and security done right from day one.

9+years shipping
84ADF pipelines, one platform
18+Azure Functions, doc ingestion
3,900+SQL objects made searchable
52API endpoints, multi-tenant
what i do

Three ways I can help.

SVC-01

AI platforms & RAG

Conversational AI over your real data, designed for accuracy, traceability, and cost. Not just a demo.

  • RAG architecture on Azure AI Search (vector + semantic)
  • Agentic workflows with LangGraph / LangChain
  • Azure OpenAI with Managed Identity & Key Vault
  • Ingestion for PDF, DOCX, PPTX, XLSX at scale
SVC-02

Data platforms & integration

Multi-source data platforms with the operational discipline of software: CI/CD, environments, reconciliation.

  • Azure Data Factory at scale (80+ pipelines)
  • Event-driven ingestion: SFTP, REST, S3, webhooks
  • ARM + Azure Pipelines across dev/test/UAT/prod
  • Warehouse design, ETL/ELT, data quality frameworks
SVC-03

Product engineering

When the problem needs a product, not a diagram, I design, build, and ship it end to end. See the two below.

  • React / TypeScript + FastAPI or .NET backends
  • Firebase: Auth, Firestore, Hosting, App Hosting
  • React Native / Expo + installable PWAs
  • From first wireframe to production deploy
selected enterprise work

Systems running in production today.

CASE-01enterprise ai

Document Intelligence & RAG platform

Azure OpenAI · AI Search · LangGraph · Functions · Cosmos DB · FastAPI · React
  • End-to-end RAG pipeline: vector + semantic retrieval with GPT-4 and LangGraph orchestration for conversational Q&A over enterprise document repositories.
  • 18+ Azure Functions ingesting PDF/DOCX/PPTX/XLSX: chunking, embeddings, vector indexing, and a Cosmos DB change-feed feedback loop.
  • Router-based query classification in a React + FastAPI platform, plus a 32-component shared UI library published via Azure Artifacts.
CASE-02data platform

Commodities data aggregation platform

Azure Data Factory · Functions (.NET 8) · Logic Apps · SQL Server · ARM · Azure Pipelines
  • 84 ADF pipelines, 60+ triggers: ETL from SFTP, CME, USDA, HubSpot, AWS S3 and Dropbox into one governed platform.
  • 52-endpoint REST API with multi-tenant row-level security, token auth, and Key Vault-managed secrets.
  • Financial-grade integrity: daily FCM transaction reconciliation across 3 brokers; full dev/test/UAT/prod CI/CD via ARM templates.
CASE-03ai + analytics

ISP analytics & intelligent data platform

Python · FastAPI · ChromaDB · Ollama · React · SSIS · Power BI · PostgreSQL
  • RAG chatbot over 3,900+ SQL objects, Power BI reports and SSIS packages, with hybrid vector + keyword search and SSE streaming answers.
  • Cross-domain lineage graph: an indexer parsing SQL DDL, SSIS XML and .pbix, visualized as an interactive React Flow dependency map.
  • 11-stage incremental ETL, 37 materialized views, and a 61-view data-quality exception framework.
products i've built & run

Side projects, shipped like products.

Both are live, self-funded, and built end to end: architecture, design, code, and deployment. They're the clearest proof of how I work.

live · consumer app · pwa + android

Homebrew

homebrew.imanuj.com

A pour-over coffee companion that treats brewing like an engineered process. A deterministic recipe engine turns method, roast, process, and freshness into exact temperature, ratio, and pour schedule, reproducible every morning with no AI guesswork. A live brew clock then guides the pour second by second.

  • Recipe engine: method × roast → brew plan
  • Guided brew clock, auto-advancing segments
  • Bean library with rest status & roast dates
  • Structured taste reflection + flavor tags
  • Branded share cards
  • Offline-first: SQLite on device, cloud sync
  • React Native
  • Expo
  • TypeScript
  • SQLite · local-first
  • Firebase Auth
  • Firestore
  • PWA
Visit Homebrew
HomeBrew°
v60 · medium roast · 1:16
1:47
second pour · to 180 g
Tip · pour in slow spirals, center-out. Keep the bed flat.
live · b2b saas · multi-tenant

DineIn

dinein.imanuj.com

Design-first QR menus for cafés and restaurants. Guests scan a table QR and get a beautiful, branded mobile menu; owners manage brand, branches, menus and events from a self-serve admin, and export print-ready PDFs with their QR embedded.

  • 15 hand-crafted menu templates × brand tokens
  • Theme Designer with live preview
  • QR codes with embedded logo (SVG/PNG)
  • Print-ready PDF export (A4/A5)
  • Events, roles & team invites
  • Per-branch scan analytics
  • Next.js
  • React 19
  • Firebase
  • Firestore
  • Tailwind 4
  • Puppeteer PDF
  • App Hosting
Visit DineIn
Three Beans
Sitabuldi · Est. 2019
Pour Overs
Ethiopia Guji₹280
Monsoon Malabar₹240
All Day
Bun Maska₹120
Keema Pav₹180
Irani Chai₹90
scan · browse · order at counter
resume

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The complete picture: enterprise Azure AI projects, the data platforms behind them, and the products above. Leave your details and it downloads instantly.

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contact

Let's build something
that ships.

Open to consulting and architecture engagements in AI platforms, RAG systems, and data integration, and to conversations about full product builds. The fastest way to reach me is LinkedIn.

or write to contact@imanuj.com