Ironman 70.3 Ohio Race Report
Not everything is flowers and roses. The Ironman 70.3
Read More →I sit at the intersection of Infrastructure and Software Engineering. During my 2.5 years at General Motors, I started in operations managing petabytes of data, but quickly found my niche in automation building the Python, Django, and REST API tools that replaced manual workflows and saved the team hundreds of hours annually.
I am currently pursuing my Master’s in Computer Science at University of Texas at Austin to deepen my technical foundation. I am driven by a simple goal: to build solutions that make work smarter, not harder. I am looking for opportunities in Software Engineering or IT where I can apply my experience in scalable systems and automation.
Master of Science in Computer Science
Coursework: C S 386P Android Programming, C S 388G Algorithms Techniques and Theory
Master of Computer Science
GPA: 3.7
Coursework: CS 446 Machine Learning
Bachelors of Science in Computer Science and Engineering
Activities and societies: AI Club, Code 4 Community, and Engineers Without Borders
Dean's List, GPA: 3.41
Relevant Coursework: CSE 3231 Software Engineering Techniques, CSE 3241 Database Systems, CSE 3461 Computer Networking, CSE 3901 Project: Web Applications, CSE 4252 Programming in C++, CSE 5472 Information Security Projects, CSE 5522 Artificial Intelligence II: Advanced Techniques, CSE 5526 Neural Networks, CSE 5914 Capstone: Knowledge-Based Systems
Activities and societies: National Honor Society, Science Club, Key Club, Spanish Club, Soccer, Track and Field, Fellowship of Christian Athletes, OCC Leadership, Hugs for Kenya
Summa Cum Laude, AP Scholar, Graduation with Honors, Clark P. and Laura A. McCoy Scholarship Recipient
General Motors
• Engineered a full-stack Python/Django automation framework (SAF) with REST API endpoints to replace manual storage provisioning, cutting request turnaround time by 60% and eliminating hundreds of annual labor hours.
• Administered global UNIX-based NAS infrastructure hosting petabytes of data, ensuring high availability and data integrity for mission-critical operations including GM Defense.
• Deployed and maintained containerized applications using Docker and Kubernetes within Azure DevOps CI/CD pipelines, enhancing system scalability and fault tolerance.
• Refactored legacy code and debugged internal full-stack tools to resolve metadata corruption issues, ensuring accurate data visualization for storage engineers.
• Developed automated Power BI dashboards and Python batch scripts to visualize infrastructure analytics, driving executive decision-making regarding hardware lifecycles.
• Orchestrated hardware migrations and security patching across legacy systems, collaborating with vendors to decommission obsolete hardware and improve infrastructure efficiency by 20%.
• Led the team in technical troubleshooting for application, server, and network issues, consistently resolving high-priority tickets to maintain strict uptime targets in a high-stakes environment.
• Streamlined global IT workflows by identifying operational bottlenecks and championing automation strategies that reduced manual data entry and human error.
Ohio State University Risk and Emergency Management
• Managed campus-wide access control systems by diagnosing hardware failures and writing custom batch scripts to automate maintenance logging and reporting for university facilities.
Ohio State University Center for Electron Microscopy and Analysis
• Accelerated materials characterization research by implementing 3D reconstruction algorithms in CryoSPARC, reducing sample processing time from days to hours through optimized image analysis.
Java
Python
JavaScript
HTML
CSS
SQL
Git
Shell Scipting
Collaborated on open-source Java development using Spring Boot and the Forge API, implementing core gameplay features and resolving critical bugs to enhance system stability and performance for the modding community.
Architected predictive neural networks (CNNs, RNNs) in Python using TensorFlow and Keras to analyze complex meteorological datasets, successfully correlating regional weather patterns with wine quality metrics.
Engineered a full-stack chatbot application integrating Amazon Lex, Django, and React, utilizing OAuth 2.0 for secure authentication to generate personalized Spotify API playlists based on user sentiment analysis.
Not everything is flowers and roses. The Ironman 70.3
Read More →Best practices for building applications that scale efficiently with growing demand...
Read More →nwlee@utexas.edu
Phone
+1 (330) 641-6116