Momina Aziz
@mominaaziz
I build Python ML pipelines and backend systems for data-driven risk and compliance products.
What I'm looking for
At TradeSee, I contributed to an AI-powered international trade compliance platform, integrating sanctions, adverse media, and PEP screening into AI-summarized risk scores.
I designed an AI Compliance Guard to map UBO corporate trees and identify sanctioned hidden owners, while leading POCs for Brazilian fruit and Vietnamese aluminum trade scenarios. I also scoped a blockchain shipment-token workflow to time-stamp applicable trade laws and reduce retroactive regulatory risk.
I've built an intrusion detection pipeline across 2.8M+ CIC-IDS2017 records that achieved 97%+ F1 score, and developed a Spring Boot library management API backed by a normalized MySQL schema.
Experience
Work history, roles, and key accomplishments
Product Developer
TradeSee
Feb 2026 - Apr 2026 (2 months)
Integrated a proprietary compliance REST API for OFAC/global sanctions checks, adverse media analysis, and PEP screening, outputting AI-summarized risk scores. Designed an AI Compliance Guard mapping UBO corporate trees to detect sanctioned hidden owners and counter tariff circumvention.
Education
Degrees, certifications, and relevant coursework
Northeastern Illinois University
Bachelor of Science, Computer Science
Grade: 3.4 / 4.0
Pursuing a Bachelor of Science in Computer Science with a GPA of 3.4/4.0, expected to graduate in Spring 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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