A career as a model card
Ahmed's career documented the way ML models are: capabilities, evaluation, training data, known limitations and failure modes. Computed from the résumé.
Model details
| Version | v10: one release per year of production ML since 2017 |
|---|---|
| Base model | Bachelor in Electrical Engineering (Summa Cum Laude), KAIST University (2017) Master of Science in Mechatronics (Summa Cum Laude), McMaster University (2019) |
| Fine-tuned at | Ford Motor Company → Scotiabank → IBM → BenchSci → Weave → Idea Boundary |
| Languages | English, French (Fluent), Arabic (Fluent), Spanish (Intermediate) |
| Code | Python, SQL, C |
| License | Available for hire. Contact |
Intended use
I build AI systems that survive contact with real users: from single-cell and genomic models to vision, video, sound, RAG, agents, and evals. Every number on this site reproduces with one command.
Strongest capabilities (each backed by a résumé bullet from production work)
Evaluation
Measured in production, not on a demo
| 94% | citation precision, production Slack RAG (Idea Boundary) |
|---|---|
| −60% | hallucination rate, 7 FDA IND agent pipelines (Weave) |
| 50K+ | requests/day at 30% lower cost (Weave) |
| $4M | contact-center savings, bilingual assistants (IBM) |
| +30% | biomedical NER accuracy (BenchSci) |
| 98% | misfire-detection precision (Ford) |
| −60% | manual product tagging, 92% accuracy (Idea Boundary) |
| 64 | open-source projects with demos and benchmarks |
Training data
- Idea Boundary, Founder and Principal AI Engineer (Independent Consulting) 2025–now · 3 documented results
- Weave, Senior AI Engineer 2024–2024 · 3 documented results
- BenchSci, Senior Machine Learning Engineer 2023–2024 · 2 documented results
- BenchSci, Machine Learning Engineer 2022–2023 · 2 documented results
- IBM, Senior Data Scientist and Consultant 2021–2022 · 2 documented results
- IBM, Data Scientist and Consultant 2019–2021 · 2 documented results
- Scotiabank, Product Owner 2019–2019 · 1 documented result
- Ford Motor Company, Graduate Research Assistant - Embedded ML 2017–2019 · 2 documented results
Plus 64 open-source projects with benchmarks, each with its own case study.
Known limitations
No production bullet, project or listed skill on this site
Listed as a skill, not yet shown in a case study
Shown in open-source projects, not yet in a production role
Known failure modes
Has shipped numbers that didn't survive a second look. Each of the 64 projects admits one bug (Errata.app), and the six recurring patterns are written up in Findings.md. Corrected numbers are published next to the originals.
Changelog
v102026: Founder and Principal AI Engineer (Independent Consulting), Idea Boundaryv92025: Founder and Principal AI Engineer (Independent Consulting), Idea Boundaryv82024: Senior AI Engineer, Weavev72023: Senior Machine Learning Engineer, BenchSciv62022: Machine Learning Engineer, BenchSciv52021: Senior Data Scientist and Consultant, IBMv42020: Data Scientist and Consultant, IBMv32019: Data Scientist and Consultant, IBMv22018: Graduate Research Assistant - Embedded ML, Ford Motor Companyv12017: Graduate Research Assistant - Embedded ML, Ford Motor Company
How to cite
@misc{doghri2026,
author = {Ahmed Doghri},
title = {Senior AI Engineer, v10},
year = {2026},
url = {https://adoghri.com}
}
Capabilities and limitations are computed by the same evidence check Fit.app uses, across 61 common skills.