Hi, my name is
Erik Eremenko
Prediction markets, HPC simulations,
and AI-assisted development.
CS student at TU Munich, building real products — a prediction market platform with 1,880+ users, high-performance C++ simulations, and AI-driven development.
About Me
I'm a Computer Science student at the Technical University of Munich (minor in Mathematics), currently in my 6th semester. I'm passionate about building software that solves real problems - from prediction market platforms to molecular dynamics simulators.
As co-founder of PolySimulator, I developed a full-stack paper-trading platform that serves 1,880+ registered users. I enjoy working across the stack - from low-level C++ simulations to cloud-native web applications.
I'm an early adopter of AI-assisted development workflows, using GitHub Copilot Agent and MCP integrations extensively in my daily work.
Education
Technical University of Munich
B.Sc. Computer Science, Minor in Mathematics
Oct 2023 - exp. Apr 2027
Königin-Luise-Gymnasium Erfurt
Abitur - graduated with distinction (1.2/1.0, GPA equiv. 3.85/4.0)
2015 - 2023
Projects
Full-stack paper-trading platform for prediction markets (Polymarket API). 1,880+ registered users, 599 MAU, ~6,270 monthly visitors. Built with AI-agent-assisted development using GitHub Copilot.
Other Notable Projects
Bavariance Team
Trading bot with Exchange API integration, automated order management and ensemble model for market price prediction. Built during HackaTUM 2025.
Experience
Co-Founder & Developer
Dec 2025 — PresentBavariance (in founding)
Building PolySimulator, an AI-powered prediction market paper-trading platform. Full-stack development with AI-agent-assisted workflows.
Bachelor Practical: Molecular Simulation
Oct 2025 — Feb 2026TU Munich
Group implementation of a molecular dynamics simulator. Collaborative PR workflow with mentor reviews and sprint demos.
Certifications
Research & Seminars
Online Machine Learning for Time Series Forecasting
WS 2025/26Seminar — TU Munich
Independent seminar paper comparing online learning algorithms for financial time series prediction. Evaluated Online SNARIMAX, Ternary Classifier, and Batch-ARIMA on S&P 500 data using the River framework.
Skills
AI & LLM Tools
Languages
Web & API
Cloud & Infra
Databases
DevOps & Build
Observability
Math & Data
Languages
German (native) · English (C1) · Russian (native) · French (DELF B1)
Get In Touch
I'm always open to interesting conversations, collaboration opportunities, or just a friendly hello. Feel free to reach out!
Say Hello