Ahmed Taha

Machine Learning Researcher ยท USPTO Patent Examiner

Ahmed Taha, intrigued by the opportunity to apply technical skills to the legal domain, became a Patent Examiner at the USPTO specializing in computer graphics and machine learning technologies. With a foundation in software engineering from nearly five years at District Hut, combined with his education in cybersecurity, machine learning, and quantum computation from Johns Hopkins and Columbia, he brings deep technical expertise to patent examination. Currently pursuing his M.S. in Computer Science at Columbia while conducting research at the intersection of AI alignment and the medical field. His research interests include computer vision and AI alignment.

Publications

First page of SpineFairBench paper

SpineFairBench: A Counterfactual Benchmark for Auditing Demographic Sensitivity in Spinal Radiology VLM Reports

Taha, A., Taeha, A., & Ahmadzada, M.

Preprint, 2026 ยท Under review ยท Cited by 0

TL;DRPaired counterfactual benchmark that audits whether nine frozen vision-language models change their spinal-radiology reports when apparent age and sex are edited while target pathology is preserved โ€” measurable recommendation drift in all nine, with management recommendations less stable than diagnostic-label overlap under the same demographic edit.

First page of MedInsider paper

MedInsider: A Benchmark for Documentation Integrity in Medical LLM Agents Under Institutional Pressure

Taha, A., Taeha, A., & Ahmadzada, M.

Preprint, 2026 ยท Under review ยท Cited by 0

TL;DRBenchmark and simulated EHR environment of 840 clinical scenarios in 420 matched pairs that tests whether medical LLM agents preserve documentation integrity when institutional context rewards shortcuts โ€” across seven agents, task completion and documentation integrity diverge, and a pre-submission compliance check reduces discrepancies at a measurable cost to task completion (four-reviewer validation, Fleiss' κ = 0.905).

Browse the full publications page, with abstracts and citations →

Software

Contact

Education

Work Experience

August 2025 - May 2027

M.S. Computer Science (Machine Learning)

Columbia University

(Thesis track)
Grade: 3.7
Coursework: Machine Learning, High Performance Machine Learning, Neural Networks & Deep Learning, Natural Language Processing

August 2025 - Present

Student Research Assistant

Columbia University Irving Medical Center

scholar.google.com/citations?user=FQ1XbKcAAAAJ

โ€” Developing an RL policy to enhance AI-assisted organ segmentation for radiation imaging under Dr. Yuan Yading
โ€” Independently developed SpineFairBench and MedInsider

January 2025 - Present

Patent Examiner

U.S. Patent and Trademark Office ยท Full-time

Alexandria, Virginia, United States ยท On-site

GS-11 Patent Examiner ยท January 2026 - Present
โ€” Evaluated 50+ machine learning and imaging patent applications, determining novelty and patentability through comprehensive prior art searches
โ€” AU: 2613

GS-9 Patent Examiner ยท January 2025 - January 2026
โ€” Awarded commendation letter from OPQA Director for office action quality

August 2024 - August 2026

M.S. Cybersecurity

Johns Hopkins University

Coursework: Quantum Computation, Digital Signal Processing, Cryptology, Generative AI for Cybersecurity

June 2020 - January 2025

Founder & Software Engineer

District Hut LLC

Led full-stack development projects generating over seven figures in revenue. Built patient-management systems, auto-dealer platforms, and restaurant applications. Registered trademark for company slogan.

2018 - 2024

B.S. Computer Science

California State University, Sacramento

3.45 GPA. Division 2 Wrestling Team. Overcame serious spine injury to complete degree. Developed Adapted Strength fitness platform as capstone project.

August 2017 - February 2021

Sales Manager & Sales Specialist

Metro by T-Mobile

Sacramento, California, United States ยท On-site

Sales Manager ยท Full-time ยท August 2018 - February 2021

Sales Specialist ยท Part-time ยท August 2017 - August 2018