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.
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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. |
AI & machine learning
Data & platform
Product engineering
useful over theatrical reliable over fragile
measured over assumed simple over accidental complexity
secure by design owned from prototype to production
- 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.
| Project | What it demonstrates |
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| 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. |
Thoughtful systems. Measurable outcomes. Technology that earns trust.
dineshdhanoki@gmail.com
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LinkedIn
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Portfolio


