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DineshDhanoki/README.md

Dinesh Dhanoki - Senior AI Engineer

Portfolio LinkedIn Email Profile views

Building intelligence that ships

I am a Senior AI Engineer working at the intersection of applied machine learning, retrieval systems, data engineering, and product delivery. At Claris, an Apple company, I build dependable AI capabilities that turn complex data into clear decisions and useful customer experiences.

My work spans the complete production path: framing the problem, preparing data, designing retrieval and model workflows, evaluating quality, deploying services, and observing what happens after launch.

Production AI

Model-serving workflows, evaluation, guardrails, monitoring, and reliable integrations built for real users. 		RAG & Search

Ingestion, chunking, embeddings, hybrid retrieval, reranking, citations, and grounded generation. 		Data Intelligence

ETL pipelines, analytics systems, experimentation, and decision tools that connect models to business outcomes.

Production AI system loop: signal, retrieval, reasoning, action, learning

Engineering toolkit

AI & machine learning

Python LangChain scikit-learn OpenAI RAG Vector Search

Data & platform

SQL PostgreSQL ETL Docker FastAPI GitHub Actions

Product engineering

TypeScript React Node.js Claris Analytics

What I optimize for

useful over theatrical       reliable over fragile
measured over assumed        simple over accidental complexity
secure by design             owned from prototype to production

Current focus

  • Building grounded, observable RAG systems with stronger retrieval and evaluation loops.
  • Productionizing ML and LLM workflows through resilient APIs, automation, and monitoring.
  • Turning analytics foundations into intelligent product experiences and business decisions.
  • Contributing practical fixes and documentation to open-source AI projects.

Selected work

Project What it demonstrates
Portfolio Motion-led personal experience built with responsive, accessible frontend engineering.
AURA WHEY Production e-commerce engineering across storefront UX, APIs, automation, and deployment.
Open-source AI RAG retrieval improvements, reconciliation quality, AI engineering documentation, and collaborative delivery.

Engineering activity

Dinesh's GitHub statistics Dinesh's GitHub streak

Thoughtful systems. Measurable outcomes. Technology that earns trust.

dineshdhanoki@gmail.com  ·  LinkedIn  ·  Portfolio

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  1. FreeScribe FreeScribe Public

    Private, browser-based AI transcription and translation. Turn speech into editable text and subtitles on your device with Whisper and NLLB.

    JavaScript 2

  2. data-engineering-launchpad data-engineering-launchpad Public

    Open-source, hands-on data engineering labs, learning paths, and interview practice from beginner to senior.

    Python 4

  3. nexusvault-rag nexusvault-rag Public

    NexusVault: an open-source enterprise RAG design prototype. Explore the live demo and help build a tested, permission-aware reference implementation.

    Python 3

  4. Portfolio-website Portfolio-website Public

    JavaScript

  5. unmess unmess Public

    Turn messy PDFs into inspectable, citable chunks—locally. Open-source Python project for document parsing, quality checks, and evaluation.

    Python 1