Alex Ng
@alexng1
Senior AI/ML engineer building production RAG and fraud detection systems.
United StatesWhat I'm looking for
I’m an AI/ML Engineer and Data Scientist with 10+ years of experience building production-grade machine learning systems, including fraud detection platforms and anomaly detection pipelines. I focus on end-to-end delivery—from model evaluation and retraining to reliable inference and monitoring.
At Oracle, I built and scaled AI-powered audit automation using RAG, LLMs, and production inference services. I processed 1,200+ documents per month across 25+ workflows, reduced manual review effort by 50%, and improved extraction quality by lowering error rate from 3.0% to 0.8% through retrieval optimization and prompt tuning.
Previously at Verizon, I developed fraud detection and real-time investigation dashboards that prevented $1M+ in annual losses and helped save $2.7M over two quarters. I’ve also delivered analytics solutions across domains like telecom, energy, and real estate—building ETL and BI capabilities while maintaining data integrity through governance like PII masking, audit logging, validation rules, and traceability.
Experience
Work history, roles, and key accomplishments
Built and scaled AI-powered audit automation using RAG/LLMs and production inference services to streamline document processing. Processed 1,200+ documents/month across 25+ workflows, reduced manual review effort by 50%, and cut error rate from 3.0% to 0.8% while delivering 380ms p95 latency and 99.7% availability.
Developed fraud detection and anomaly detection systems and real-time investigation dashboards to detect fraudulent customer behavior. Prevented $1M+ in annual losses, helped save $2.7M over two quarters, and improved adoption of fraud investigation dashboards by 70% among Tableau/Qlik users within 3 months.
Built predictive models and analytics dashboards for oil-and-gas supply and trading teams to improve operational decision-making. Replaced a paid third-party BI service with an internal Power BI and Teradata-based analytics solution, reducing operational costs.
Data Scientist
DMAX Investment Properties
May 2017 - May 2018 (1 year)
Applied machine learning and predictive analytics to real estate investment underwriting, property valuation, and market analysis workflows. Built models to estimate rent, rehabilitation costs, and after-repair value, reducing underwriting time from weeks to days, and supported acquisition analysis for $6M+ properties.
Developed forecasting models and analytical reports to support workforce planning and cost analysis. Built SQL-based data extraction and transformation workflows for on-demand reporting, and delivered predictive modeling outputs and insights to business stakeholders.
Built BI dashboards, reporting solutions, and ETL workflows to improve department visibility and reporting efficiency. Developed SSRS and Tableau dashboards and maintained SSIS ETL packages with delta-load logic to reduce ETL runtime and improve data refresh efficiency.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
Bachelor’s Degree, Computer Science
2011 - 2013
Earned a Computer Science bachelor’s degree at The University of Texas at Austin from 2011 to 2013.
Tunku Abdul Rahman University of Management and Technology
Associate’s Degree, Computer Science
2008 - 2010
Earned a Computer Science associate’s degree at Tunku Abdul Rahman University of Management and Technology from 2008 to 2010.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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