Openshift AI, Feature Store Team Lead• Preparing the open-source Feast project for adoption into Openshift AI MLOps application suite

Oil and Gas Pipeline Contract Document Automation | GenAI Project• MVP production API and backend GenAI application for document automation and analysisEviden Internal• Lead team of AI/ML consultants• Presales

Estee Lauder Companies | GenAI Project• Team lead for MVP GenAI customer review interactive query and sumarization app• Project highlighted by Google Cloud at Google Next 2023• LLM, vector DB, embedding, sentiment analysis, metadata, and cloud DBEstee Lauder Companies | MLOps Project• Custom CI/CD for Pipelines and components• ML workflows developmentEviden Internal• MLOps sub-horizontal team lead• GenAI demo team lead• MLOps steering committee member• Presales SME• Candidate interviews

Capital One | International Financial Services Project• Progressed from concept, through alpha/beta testing, to GA• Consulting on machine learning direction, standards, tools, and platform• Custom enterprise Kubeflow/Kubernetes platform implementation• Hyperparameter tuning platform using Katib• Reduced data science team work to deploy fraud model from 16 weeks to 6Disney | International Theme Park Project• Strategy and code to preprocess high velocity, high volume ride sensor data• Achieved massive time series data compression without information loss• Custom augmented LSTM autoencoder model to detect ride anomalies• Leading to more timely proactive work, and fewer unexpected down times• My POC was planned to expand to various other ridesMcKesson | Enterprise Health Care Project• Managed data science team in partnership with Google professional services• Created efficient process to label medical documents at-scale• Built Kubeflow and Vertex AI inference pipelines• Text, image, and table AutoML model ensembles for 99% average accuracy• Created both batch and online workflow solutions

CVS Health | Enterprise Healthcare Prescription Benefit Management Project:• MLOps team lead and cross-functional collaborator• Migrated on-prem production drug price optimization pipeline to GCP• Kubeflow, Kubernetes, AI-Platform, Python, BigQuery, PulP• Trained client Data Science team• Reduced workflow from 8 hours to 8 minutes• Impact was more timely drug price quotes and quicker turnaround

• Used clustering to build understanding of customer behavior on record keeping• Developed data-driven default optimal settings for our products• Built the cloud based production ML pipeline and model for predicting appointment attendance• Adept in business operations, machine learning, data pipelines, and analysis presentation• Skilled with the Python ML data stack, advanced SQL, and the Google Cloud Platform

• Developed and tested code for storing and protecting backend customer data• Used machine learning to performance test infrastructure products• Adept in Python, Ruby, Javascript, Agile, Jira, and software best practices

• Proactive diagnostics, break/fix, and root cause analysis for enterprise customers

• Taught 31 credit hours in subjects of College Algebra and Calculus I and II• Directed up to 3 TAs, a grader, and five labs per semester• Wrote exams, coordinated with other instructors, and did administrative work

• Taught GRE/GMAT math to international students seeking to enter US graduate school programs

• Discussed seasonal changes, promotions, displays, inventory, and new products with garden department staff at retail stores

• I did research on early Korean-American international relations.• I transcribed historical hand-written letters from the US government to Korea.

• Researched inter-Korean economic cooperation and its impact on regional stability

• Worked in various departments (inventory, sales, QA, etc.) while pursuing my undergraduate degree• Lead technician over evening shift

• Research for the JEC staff economist• Helped prepare for a committee hearing with the chairman of the Federal Reserve