About
cs student in Portland. i like building useful things that solve real problems. lately that's been autonomous agents and self-hosting, systems that automate workflows and infrastructure i actually control.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Built full-stack web application for ColorStack Winter Hackathon 2025 that uses AI to detect insider trading on prediction markets. Engineered autonomous Claude agent via AWS Bedrock to monitor Polymarket data, analyze account behavior, and flag suspicious patterns with transparent evidence generation.
Building Manifest V3 Chrome extension with 4-person capstone team, targeting 80% reduction in job application time through hybrid AI/deterministic form automation. Architecting React/TypeScript interface with Chrome storage APIs for 5+ ATS platforms including Workday and Greenhouse.
Architected FPGA-based memory acquisition system using DMA, achieving sub-5ms latency and 208.7 MB/s throughput. Developed C++ application with DirectX 11/12 overlay rendering, processing 10,000+ memory events/second with 5,804 ops/sec read rate.
Developed Python application to parse combat logs, processing 100,000+ events per session and reducing analysis time from 60+ minutes to under 5 minutes. Drove 66% ranking improvement (rank 917 to 313) by surfacing systematic performance issues across 40+ players.
I like learning things
These are some of the courses that shaped how I think about building software. From algorithms and data structures to machine learning and AI, each one gave me tools I use in every project I build.
Machine Learning & Data Mining
Oregon State University
Covered supervised and unsupervised learning, classification, regression, clustering, and data mining techniques.
Introduction to Applied Machine Learning
Oregon State University
Practical introduction to machine learning algorithms, model evaluation, and applications using real-world datasets.
Introduction to Artificial Intelligence
Oregon State University
Introduction to AI concepts including search, knowledge representation, reasoning, and basic machine learning.
Data Structures and Algorithms
Oregon State University
Comprehensive study of data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching, graph traversal). Implemented various algorithms and analyzed their time/space complexity.
Analysis of Algorithms
Oregon State University
Explored algorithm design and analysis, including divide-and-conquer, dynamic programming, greedy algorithms, and NP-completeness.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.