Python software engineer for LLM and mathematical machine learning toolkits.

Mirascope library:

• Core library features, cookbook recipe examples, walkthrough markdowns

• User experience review and feedback

Pytorch-Lattice:

• implementation of base layers for model from scratch (lattice, random tiny lattices)

• constraints checks for calibration and linear layers

• creating/refactoring premade model classes for lattice/linear layers for code reusability and cleanliness

Squadron Leader for 6 months during mandatory military conscription for South Korea. Military Occupational Specialty: Munitions.

Implemented two image processing functionalities for the software of a hyperspectral microscope.

• Reversed a compound distortion stemming from the spectral "smile" as well as the pincushion distortion of the physical lens. Used classic image processing techniques such as gaussian blurring and edge enhancement to pick ideal calibration points, then mathematically reversed the distortions.

• Designed an automated cell segmentation functionality for specific types of biological sample images. Using the average shapes of clearly individual cell samples, I generated custom convolutional filters for each color channel to achieve the results shown below:

Backend developer apprenticeship through Horizons School of Technology at Ahora, a Dutch startup aiming to connect the elderly with the best matching caretakers.

Working in JavaScript and MongoDB, I developed the database structure for both client and caretaker, as well as developed a matching algorithm based on factors such as availability, shift type, geolocation, and more.