Experience
Mar 2026 - Present
Software Engineering Intern
Conductor · San Francisco, California
- One of 6 engineers building an AI agent orchestration platform (+100% DAU since March)
- Built harness syncing between Claude Code and Codex
- Identified and implemented various performance improvements (−50% average CPU usage)
- Worked on frontend components to improve agent configuration and workflow visualization
Jan 2023 - Present
Co-Founder
Conduit Games Company · Berkeley, California
- Crowdfunded ~$90k from 1,000+ backers in a Kickstarter campaign that fully funded in 2 hours
- Designed and iteratively balanced the core mechanics of Race to Kepler through 3+ years of playtesting
- Built the graphic layout and design in Figma for cards, game boxes, and marketing materials
- Coordinated manufacturing and shipping with overseas partners for fulfillment
- Showcased Race to Kepler at PAX West 2024 and Gen Con 2025
Jul 2025 - Sep 2025
Product & Data Intern
Replit · Foster City, California
- Analyzed user price sensitivity to determine optimal pricing (+10% ARR)
- Identified and implemented key growth funnel optimization (+12% Initial Active Users)
- Developed a DAG to classify user messages using LLMs for A/B tests
- Built a system to analyze LLM traces and identify common issues to inform prompt tuning
Jun 2025 - Sep 2025
Marketing Strategist
UVS Games · Remote
- Developed ideal demo experience for the Riftbound TCG
- Met with 15+ potential partners to negotiate demo partnerships
- Planned and presented marketing programs
Jan 2013 - Jun 2023
Competitive Card Game Player
Competitive Gaming · International
- Six-time Pokémon TCG World Championship Competitor
- Five-time Pokémon TCG Regional Champion
Research
Mar 2026 - Jun 2026
Department of Radiology, University of Chicago
Karczmar Lab · Chicago, Illinois
- Worked with the Karczmar Lab on breast cancer treatment using ML
- Developed Graph Neural Networks to predict treatment response from MRI data
- Increased model AUC from 0.53 to 0.67
Sep 2025 - Dec 2025
Data Science Institute, University of Chicago
Chicago, Illinois
- Won the poster presentation for our research “Political Bias Drift in Post-Trained LLMs”
- Sourced and compiled diverse datasets with specific biases
- Constructed an LLM post-training pipeline to train Llama 3 models
Jan 2024 - Oct 2024
Department of Social Sciences, University of Chicago
Chicago, Illinois
- Co-author on “Which frame fits? Policy learning with framing for climate change policy attitudes”, published in Research & Politics (2026)
- Built machine learning models in Python to predict effective policy framing based on demographic information
- Used Pandas and StatsModels to code Linear Regression and Random Forest models in Python
- Translated code from Python to R and encoded output into LaTeX