LIVE / AI ENGINEERING LAB

Intelligence you can
actually interact with.

Explore a working machine-learning system built into this portfolio. Search by meaning, inspect the evidence, and test the retrieval pipeline—all in your browser.

THE RETRIEVAL WORKBENCHKEYWORD ENGINE READY

Turn on real, local AI.

Enable a quantized language embedding model to find relevant work by meaning, even when the words differ.

Queries stay in your browser. No API key needed.

First use downloads a ~23 MB model plus its runtime from Hugging Face and jsDelivr.

01 / ASK THE PORTFOLIO

33/320
TRY A QUESTION
13 portfolio sourcesDeterministic keyword retrievalAwaiting a search

02 / INSPECT THE EVIDENCE

3 sources for “Foot health and patient education”
01HealthcareBM25 6.789

FootCheck

FootCheck. Bringing technology closer to foot health. A platform focused on early awareness, self-monitoring, and education. Product engineering. Health education. AI workflows.

02Clinical websitesBM25 5.887

Eskander Foot and Ankle

Eskander Foot and Ankle. A multi-page practice website with condition education, hospital information, and new-patient guidance. Frontend. Content architecture. Patient experience.

03SecurityBM25 1.814

Cybersecurity engineering

Moheb is a cybersecurity engineer. His approach covers application hardening, least privilege, authorization, identity, patient-data protection, trust boundaries, and authorized hardware security research.

These are source excerpts, not generated answers. Ranking scores indicate retrieval relevance, not factual confidence.

01 Your question02 Tokenize keywords03 Rank sources04 Inspect evidence

03 / MEASURE, DON’T GUESS

Put retrieval to the test.

A small, transparent set of five portfolio questions. Run it against the loaded neural model and inspect every result.

5 curated cases A demonstration set, not a production benchmark.

Enable on-device AI above to run the evaluation.

Real model inference

A quantized transformer runs in a Web Worker, keeping the interface responsive while the model computes.

Private by architecture

Search text stays on your device. The model runs locally after its download, with no query API or stored conversation.

Evidence you can inspect

Each match links to its source. Export the retrieved context and compare keyword, semantic, and hybrid ranking.

Built with Transformers.js and MiniLM. This lab demonstrates the retrieval layer used in retrieval-augmented AI systems; it does not generate medical advice.

Explore the full engineering profile

GOOD WORK STARTS WITH A CONVERSATION

Different disciplines.
Shared possibilities.

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