David Schneider
Computer Science Student @ TU Munich
Education
B.Sc. Computer Science
Technical University of Munich — 2023 – Present
Focus areas: Computer Graphics, Machine Learning, Systems Programming, Database Systems
Technical Skills
Java, Python, C++, C, Rust, JavaScript, TypeScript, OCaml
React, Next.js, Astro, Tailwind CSS, Spring Boot, Dream (OCaml)
NumPy, Pandas, Scikit-learn, OpenCV, Matplotlib, BeautifulSoup, Selenium
Git, Linux, Docker, WebAssembly, SQL, Yacc/Lex, WebSocket, TCP/IP
Projects
Lighter Market Maker
Rust · tokio · ethers · WebSocket
High-frequency market making bot with institutional-grade risk controls, snipe detection, and multi-exchange routing.
Refund Farmer
Rust · tokio · secp256k1
Delta-neutral quant strategy to extract expected value from Variational's loss refund program.
Database System
C++ · Yacc · Lex
Custom database engine with SQL parser, query executor, and WebAssembly browser interface.
TTinder
Next.js · TypeScript · OCaml · Tailwind · Dream
Tennis matchmaking app with real-time chat, opponent discovery, and match scheduling.
Research
NeRF: Neural Radiance Fields for View Synthesis
Bachelor Seminar · 2025
Representing scenes as neural radiance fields for view synthesis.
Bachelor Thesis
Starting 2026
Topic to be determined.