Kae User

I’m a Computer Science graduate from UT Dallas (BS, Cum Laude, GPA 3.84), with hands-on experience building full-stack applications, backend services, and data analyses in Agile teams. I’m proficient in Java, Python, JavaScript, and more, and I focus on translating user needs into reliable, maintainable code. I’m known for optimizing workflows and troubleshooting complex systems to keep work moving and outcomes dependable.

In my project work, I developed a full-stack web application to synchronize and analyze cardiac MRI data, integrating open-source medical imaging tools for advanced data analysis. I diagnosed and fixed synchronization bugs in data synchronization algorithms, improving usability of heart data. I also led weekly meetings, tracked progress, and documented deliverables using Agile methodologies.

I strengthened my digital forensics skills by implementing a low-level file recovery tool that scans raw disk sectors to locate and reconstruct a deleted PDF. I analyzed file system metadata (e.g., inodes and directory entries), built Python scripts to iterate through raw byte ranges, and verified integrity using PDF structural checks and checksum-like heuristics.

I’m also drawn to strong data foundations—through a healthcare database design project, I created an ERD and translated it into a normalized schema (3NF) with primary/foreign keys, referential integrity constraints, and validation rules. I wrote SQL DDL/DML to implement tables, indexes, and views and tested with realistic seed data to verify constraints, joins, and performance. Overall, I’m eager to build products that deliver measurable impact for real users.