

// Dr. Aria Khan
Domain-adapted LLMs — SFT, LoRA/QLoRA, eval harnesses and guardrails, shipped behind a stable endpoint.
Detection, segmentation and OCR pipelines tuned for real-time, low-latency inference on edge or GPU.
Two-tower retrieval and learned ranking that measurably lift engagement and revenue.
Retrieval-augmented generation over millions of docs — chunking, embeddings, reranking and MLOps.
Scoped engagements — from a focused sprint to embedded delivery.

A focused two-week review of your data, models and infra — with a prioritized, build-ready roadmap.

Six weeks to a shipped model — scoping, training, evaluation and a production endpoint your team owns.

Monthly retainer — I embed with your team to ship, monitor and maintain models end to end.
Selected systems — the metric that mattered, shipped and measured.



Aria shipped a fraud model that actually held up in production — 99.2% recall with latency we could live with. Rare to find research depth and shipping discipline in one person.

Our QA line went from manual to real-time vision in six weeks. 40ms inference, rock-solid. She left us with a clean endpoint and docs the team could own.

The RAG system she built indexes 3M documents and retrieval finally feels relevant. Thoughtful evals, not vibes — that changed how we trust the output.

Embedded with us for two quarters and lifted our recommender CTR meaningfully. Genuinely the best applied-ML hire we have made.

Open to applied-research consulting, model delivery and advisory work.
30 minutes. Your problem, the data you have, and whether a model is the right call.
Find me online