Fordham University · New York, NY
Miles Ehrlich
CS & Math at Fordham University, on a 3-2 track to a Computer Engineering degree from Columbia.
I build full-stack products and conduct ML robustness research, with a growing interest in hardware and semiconductor systems.
About
Math & Computer Science
I'm a Math & Computer Science student at Fordham University with a 3.9 GPA, on a 3-2 track to a Computer Engineering degree from Columbia. I build full-stack products and lead machine learning research.
My work spans a live AI education platform, a first-place hackathon project, and undergraduate research on adversarial robustness in neural networks. I'm drawn to work that has measurable, real-world impact.
Education
Pursuing a dual degree in Math/CS at Fordham and Computer Engineering at Columbia through a 3-2 program.
Shaker High School
Advanced Regents Diploma with High Honors
Albany, NY
Fordham University
BS, Mathematics & Computer Science
GPA 3.9 · CS Concentration · 3-2 Dual Degree Program
New York, NY
Columbia University
BS, Computer Engineering
Via Fordham 3-2 Engineering Program
New York, NY
Skills
Skills built hands-on through research, internships, and real-world projects.
Languages
Frameworks
Data & Infra
AI / ML
Projects
PromptlyPerfect
AI Education Platform
Founded an interactive platform that teaches users to write effective AI prompts through tiered XP/streak learning, a live scoring sandbox, and a community prompt library.
Full-stack: Node.js/Express, PostgreSQL, Anthropic API. Teams tier with role-based access and admin analytics.
Adversarial Robustness Research
ML Research · Fordham University
Led adversarial robustness research on a human-in-the-loop data augmentation framework, culminating in a paper accepted for presentation at IEEE DSC.
Found that human supervision produced the highest clean accuracy, while automated filtering matched or exceeded it on adversarial robustness, a result that reframed a perceived limitation of automation into the paper's core contribution.
MINT
Browser Extension
A React browser extension that turns streaming media into an interactive shopping experience. Click and drag over any object in live video to identify and find it.
Google Gemini and Dedalus Labs APIs via Python backend for real-time image recognition and product matching.
EcoAudit
Sustainability Dashboard
Won First Place in the Environmental Track at Fordham's inaugural RamHack, a platform that identifies brand sustainability and carbon emissions data in real-time.
Canvas API perimeter-trace animation with Claude Vision. Leaflet.js + Clearbit APIs for an interactive global footprint map.
Experience
Experience spanning cybersecurity research, founding my own ed-tech platform, and legislative work.
Intern
NY CREATES
Albany, NY
- ·Built internal automation tools and dashboards for data processing and reporting, integrating REST APIs and streamlining manual workflows.
Undergraduate Research Lead
Fordham University
New York, NY
- ·Adversarial Robustness of a Human-in-the-Loop Data Augmentation Framework: researched adversarial robustness in human-in-the-loop vs. automated data augmentation, running large-scale FGSM/PGD evaluations across three image datasets.
- ·Findings reframed a perceived limitation of automation into a core contribution; accepted for presentation at IEEE DSC.
Vice President
CS Club, Fordham University
New York, NY
- ·Organizing technical workshops, events, and hackathon preparation sessions.
Legislative Aide
Intern
Ostroff Associates Inc.
Albany, NY
- ·Identified and secured government grant opportunities for clients, contributing to increased project funding.
- ·Collaborated on research and analysis of legislative and policy developments to form strategic counsel.
Volunteer Fundraiser & Event Coordinator
Leukemia Lymphoma Society
Albany, NY
- ·Raised over $15,000 in two months through strategic outreach to local businesses.
Contact
I'm open to internships and part-time roles in software engineering, with a growing interest in hardware and semiconductors. Feel free to reach out directly, or connect with me below.