Experience

Work history, skills, and education.

Work History

2025 – Present

Solutions ArchitectAWS Startups

Helping startups design and scale cloud-native architectures on AWS. Advising on infrastructure, ML workloads, and best practices for early-stage technical teams.

2022 – 2025

Data ScientistMicrosoft

Architected real-time telemetry pipelines in Azure Cloud to fine-tune LLM products. Built prompt ranking, recommendation systems, and A/B testing experiments using GenAI APIs.

2020 – 2022

Data Science ManagerBMO Financial Group

Built end-to-end ML frameworks for product recommendation, fraud detection, and risk optimization. Designed automated real-time data ingestion and reporting systems.

2018 – 2020

Senior AnalystConstellation Brands

Engineered time series datasets for demand forecasting and anomaly detection. Built predictive models for pricing and customer behavior. Automated ETL pipelines.

2016 – 2018

Quantitative ResearcherCaseRank

Built a legal AI platform predicting lawsuit outcomes from caselaw. Accepted into the #1-ranked B2B Tech Wildcatters accelerator.

2016 – 2018

Data Science SpecialistBudLab (AB InBev)

Designed end-to-end ML solutions for dynamic pricing optimization. Built demand forecasting models delivered via a Flask web dashboard.

2011 – 2013

Network SpecialistDefense Command HQ, South Korea

CTF training, network monitoring, and server maintenance as platoon lead. Supported air, sea, and ground operations via telemetry downlink optimization.

Skills & Tools

ML & AITensorFlow, PyTorch, GenAI / LLMs, OpenCV, NLP, Recommendation Systems, A/B Testing
Data EngineeringPython, PySpark, SQL, Hadoop, R, ETL Pipelines
Cloud & InfraAWS, Azure, Docker, Kubernetes, Linux, Git
Systems & SecurityMBSE / SysML, Cybersecurity, Reverse Engineering, Ghidra, Network Security
LanguagesPython, R, SQL, C# / C, JavaScript
CertificationsAWS Solutions Architect Associate
EducationM.S. Systems Engineering (Cybersecurity) — Johns Hopkins · B.S. Statistics — UIUC