I'm a fourth-year student at the University of Chicago studying computer science and an incoming software engineer at Vertex Inc. Please feel free to reach out if you'd like to connect!
Relevant Coursework:
- Applied Regression Analysis
- Database Systems
- Data Engineering
- Data Science
- Data Visualization
- Linear Algebra
- Mathematical Foundations of Machine Learning
- Mathematical Methods for Economics Analysis
- Statistical Methods and Applications
- Systems Programming
Performance Engineering Team
- Analyzed and optimized product performance using profiling tools, performance models, and queueing theory as a member of the Performance Engineering team
- Designed an API to collect performance metrics from DataDog and translate them to queueing theory metrics, enabling deeper performance analysis of the company’s tax software services
- Developed and executed automated performance tests to measure system scalability, identify bottlenecks, and validate enhancements across distributed systems
- Assisted in building and refining CI/CD pipelines and monitoring infrastructure using AWS cloud technologies and DevOps best practices
- Optimized a machine learning model for pose estimation, reducing error rates by 13% and improving accuracy by 9% through hyperparameter tuning and regularization
- Developed a real-time visualization web app using the pygfx Python library to enable interactive exploration of pose estimation results
- Integrated .nwb (Neurodata Without Borders) data support, streamlining data standardization and interoperability across neurophysiology workflows
- Expanded video file representation classes by incorporating additional metadata, improving data handling and analysis capabilities
- Developed and optimized Python scripts to analyze large-scale electronic biobanks, studying cardiovascular disease through longitudinal analysis, mixed-effects modeling, and regression
- Used bioinformatics methods for population genetics studies, such as genome-wide association studies, QTL mapping, polygenetic risk prediction, and pleiotropy analysis
Programming Languages: Python, C/C++, SQL, JavaScript, Rust, C#
Libraries/Frameworks: Node.js, React, Pandas, NumPy, Matplotlib
Developer Tools: Git, Unix, Docker, Unity
Languages: English, Spanish, Portuguese
CrustyDB, Rust, April 2025 - May 2025
- Implemented core storage and query execution components for a database management system
- Developed a slotted-page storage manager in to support variable-length data tuples within fixed-size pages, implementing serialization and deserialization of metadata
- Wrote low-level I/O methods to handle binary page storage and recovery, ensuring data integrity through checksum and logging.
- Worked extensively with Rust's memory safety model, lifetimes, and trait-based abstractions to implement robust and type-safe systems code.
Last Stand, Python, March 2025
- Developed a top-down zombie survival shooter game with the
pygamelibrary for the 2025 Uncommon Hacks hackathon at UChicago
K Malloc, C, March 2025
- Developed a custom dynamic memory allocator to manage heap memory efficiently
- Implemented memory allocation using
mmap(), expanding the heap dynamically based on process demands - Handled memory fragmentation and coalescing, improving performance and reducing wasted space
Unix Shell, C, February 2025
- Developed a Unix-like shell in C, implementing process creation and management with system calls
- Applied defensive programming techniques to handle invalid user input, prevent buffer overflows, and ensure robust error handling, improving the shell's stability and security
- Implemented input/output redirection to support file-based command execution and automated testing
- Designed a modular architecture by structuring the shell's core functionalities into separate components, making the codebase extensible for future enhancements such as piping and background process execution
You can reach out to me via email: keyaloding@uchicago.edu