Ahmed Aman | AI Delivered

Fraud Detection @ eBay

Owned all global account takeover (ATO) models and built the entire defensive AI stack for account security as the sole AI engineer, protecting 10M+ daily sign-ins and blocking 10K+ fraud attempts per day. Shipped a production-grade model suite that increased detection from 35% to 80% and reduced losses by over $10M annually. Operated as a cross-functional lead, collaborating with engineering, product, policy, compliance, and executive leadership to drive security strategy and execution. Recognized with multiple award nominations and promoted for impact across AI-driven fraud prevention.

Generative AI @ Start Up

Designed and architected a generative AI platform that transformed congressional hearing transcripts into actionable insights for financial and policy clients. Led end-to-end system design, including retrieval-augmented generation (RAG) workflows, embedding pipelines, and scalable LLM-based summarization services, reducing research time from 8 hours to under a minute. Managed cross-functional science and product teams, partnered with data providers to ensure transcript accuracy and licensing compliance, and developed marketing collateral, pitch decks, and demo scripts. Represented the platform in investor meetings and Series B fundraising presentations.

Credit Risk @ FinTech

Used bank transaction data and NLP to modernize credit risk modeling, launching the company’s top-performing model and driving $2.3M in new loan originations while expanding access to credit. Received promotions and internal awards for technical leadership and business impact. Led the migration from on-prem systems to the cloud, modernizing the company’s ML infrastructure, automating complex regulatory reporting tasks, and streamlining legacy data pipelines. Regularly trained and mentored senior scientists and engineers on model development, infrastructure best practices, and productionization.

Marketing Analytics @ BCG

Built ML-driven forecasting tools to help a national retailer identify store locations with the highest likelihood of success, resulting in two follow-on consulting engagements worth over $500K. Designed and executed market research surveys, A/B tests, and targeted product analytics to support data-driven decision-making. Led customer acquisition cost (CAC) and customer lifetime value (CLV) analysis, and developed machine learning models to predict ad response rates and likelihood of customer return visits.