Ethan Wang

Building systems that trade, scale, and think.

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01 / About

I'm a computer science and mathematics student at Case Western Reserve University who builds things at the intersection of quantitative systems, AI infrastructure, and startups.

Currently co-founding Darch AI, where I architect high-throughput media pipelines serving 20M+ monthly impressions. Previously built AI tools at NIST. On the side, I run automated trading systems on prediction markets — reaching the top 100 on Kalshi's all-time crypto leaderboard.

Darch AI

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Monthly Impressions
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Monthly Video Jobs
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Profit Margins

02 / Experience

Darch AI

Co-Founder & Engineering Lead

June 2025 – Present

Remote

  • Architected a hybrid microservices system (Python/FastAPI, Node.js) and high-throughput FFmpeg media pipeline to automate cross-platform content distribution, supporting 20M+ monthly impressions.
  • Optimized serverless resource allocation for 3,000+ monthly video jobs, maintaining 85%+ profit margins through aggressive caching and stateless execution.
  • Maintaining custom self-hosted infrastructure with modified authentication flows for multi-tenant B2B scheduling, while leading solution architecture for enterprise accounts.
PythonFastAPINode.jsFFmpegDocker

National Institute of Standards and Technology (NIST)

Software Development Intern

June 2025 – August 2025

Gaithersburg, MD

  • Built AI-driven internal tools including a help desk chatbot powered by a RAG pipeline, engineering document ingestion and optimizing retrieval strategies.
  • Developed and integrated a custom logging feature into an Open WebUI fork to enhance monitoring and debugging capabilities.
  • Collaborated with Boulder campus staff to deliver a wildfire evacuation dashboard based on stakeholder requirements.
PythonRAGOpen WebUIReact

03 / Projects

Featured

May 2024 – Present

Quantitative Trading on Kalshi

Automated trading system executing across prediction markets with market making, momentum, arbitrage, and latency-sensitive strategies.

Top 100 all-time on Kalshi crypto leaderboard
  • 3,500+ monthly trades totaling 500k contracts
  • Low-latency infrastructure processing hundreds of GBs of market data
  • Predictive models using Ornstein-Uhlenbeck SDEs, Hawkes processes, and modified Black-Scholes
PythonWebSocketsMongoDB

February 2025

Orbit Chrome Extension

Multimodal semantic search engine for saved text, audio, and video using CLIP/CLAP embeddings.

Sub-second vector retrieval
  • Natural language queries over captured browser content
  • ChromaDB integration for real-time vector similarity search
FlaskPyTorchChromaDBCLIP/CLAP

04 / Skills

Languages

PythonJavaJavaScript/TypeScriptCSQL

Frameworks

ReactFastAPINode.jsPyTorchNext.js

Infrastructure

DockerMongoDBPostgreSQLWebSocketsFFmpegGit

05 / Contact

Let's build something.

Always interested in new opportunities, collaborations, and interesting problems.

ethan.wanq@gmail.com

Designed & built by Ethan Wang