AI Engineer · AI Solution Architect · Data Scientist
I'm Ali Zarreh, Ph.D. — a hands-on AI engineer and solution architect with 18 years across engineering, data science and AI. I work forward-deployed with customer teams to design, build and ship solutions in any industry, from framing the problem to writing the production code.
Open to consulting, advisory roles and select projects.
Ph.D. · 17+ years
Hands-on with customer teams · Teaching in JHU & UT Austin programs
Work, teaching & advisory
In production
I work directly with the people who own the problem: framing the decision with them, architecting the system, writing the production code myself, and staying through evaluation, rollout and adoption.
Client and employer work stays confidential. The same approach is open to inspect in the public applications below.
Agentic workflows, retrieval and multimodal intake on real enterprise data.
Forecasting and optimization platforms that planners rely on week to week.
Evaluation from day one, LLM-as-judge pipelines and human review where stakes are high.
Production pipelines and services on GCP, AWS and Databricks.
Public portfolio
Independent demonstrations in finance and healthcare, built on public or synthetic data — each with independent checks, human review and openly reported limits.
A calibrated credit model, notices written by code from a reviewed template, an independent eight-check verifier proven by mutation testing, and a human who makes the call. A read-only AI analyst explains cases — and code checks every number it states.
A calibrated risk model decides who is flagged, fairness is audited for every subgroup, an AI agent assembles the evidence, and a clinician makes every enrolment decision. It also reproduces how training on cost instead of illness burden skews who gets care.
An AI investigator for SEC Form 4 insider filings. It gathers evidence, drafts a finding, checks every claim against what it actually retrieved, and hands a clear, flag or escalate outcome to a human — while openly reporting where its accuracy still falls short.
Work together
In any industry — from a first prototype to a production system, an independent review, or a seat at the board table.
Design & build
I work with your team to design and implement AI, forecasting and optimization solutions in any field — from framing the problem to production code.
Ways to work togetherEvaluate & improve
An independent review of an LLM or agent system: evaluation, guardrails, failure modes and a prioritized plan to fix them.
Evaluation reviewsBoard & advisory
Independent counsel for founders and boards on AI strategy, architecture, governance and technical due diligence.
Board & advisoryHow I work
Every system I build begins with the decision it improves and the person who owns it.
Evaluation, backtests and baselines come first, so we know it works before we bet on it.
AI assembles evidence and drafts; accountable people decide where the stakes demand it.
Every number, claim and citation can be traced back to its source and checked by code.
I publish where a system falls short. Knowing the failure modes is what makes it safe to use.
Beyond the day job
Teaching
250+
students · 4.92 / 5 rating
Instructor for agentic and generative AI programs from Johns Hopkins University and UT Austin McCombs.
Teaching →Board advisory
Syne Life
Health Tech Board Advisor · AI & Technology
Advising the founding team of a recovery-science wellness startup on technology strategy, platform architecture and AI.
Board & advisory →Research
Medical research & applied AI
Ph.D., University of Texas at San Antonio
Current work in medical research and applied AI, built on peer-reviewed research in risk, security and operations — the quantitative roots of how I evaluate AI today.
Publications →Open to consulting, advisory roles and select projects.
Whether it's an AI initiative, an advisory seat or a talk, I'd be glad to hear what you're working on.