Noah Kim

Experience

Developed a full-stack solution for viewing firm-wide order flow across multiple formats, representations, and databases. Designed an extensible, module-based backend architecture with separate configuration, runtime, and endpoint handler stages. Provided deeply configurable frontend components that can be reused across backends.
Created a general-purpose, SQL-like query language with translators for TimescaleDB, MongoDB, and ElasticSearch. Built a query editor with contextual syntax highlighting, backend-specific autocompletion, and transparent error reporting.

Implemented a code action framework for the Blazor tooling environment for Visual Studio and Visual Studio Code. Wrote several refactoring code actions for Blazor components using the framework.
Developed additional backend refactoring functionality for Blazor components.

Led the design and development of CAWP, a software vulnerability aggregation tool packaged with features including an independent vulnerability knowledge-base and a CSV/PDF report generator.
Developed an efficient AWS data-lake visualization tool for use in commercial applications with high throughput.

Contributed to the design and implementation of AvesTerra, a graph knowledge representation framework intended to advance big-data research in the scientific community.
Developed a client package for querying knowledge servers with multi-threaded request pooling and object-oriented entity wrapping.

Prototyped a disk imaging software capable of simultaneously performing triage so that operatives in the field can respond quickly to new information on captured media. Now available as IO.
Developed reverse engineering toolkit for detecting malicious C/C++ binaries based on compiler patterns.

Leading 15-30 course staff for 150-300+ students in our C++ algorithms & data structures core major requirement.
Developing Curricula, a scalable framework that facilitates modular assignment composition, sophisticated automated grading patterns, and submission report generation.
Developing Curricula Web, which features a submission system with asynchronous validation and autograding, office hours ticketing with interactions and analytics, and a modernized content distribution platform that improves student QOL.

Contributed to research by Dr. Michael Robinson on the application of simplicial homology to big data analysis.
Worked toward developing a simplicial model that could predict whether subjects were at risk of drug or alcohol abuse based on data ranging from FMRI scans to patient and parent surveys.