Germany | Systems Engineer | Quant Trading & AI/ML
Building production systems where milliseconds matter — high-throughput Rust services, ML pipelines, and real-time data infrastructure.
- Athenum - Multi-strategy cryptocurrency trading platform. 8 trading products, Rust microservices ingesting from 4 exchanges, Python ML signal generation.
- FastPal - AI-powered sales intelligence: real-time coaching during calls + B2B lead generation with gRPC scraping and Vertex AI enrichment.
- Typelense - AI fashion photography with SDXL + ControlNet diffusion pipelines for virtual try-on and 2048px+ upscaling.
- InnoCom - Multi-tenant innovation platform connecting companies, universities, and students with AI-powered co-founder matching and RAG coaching.
- claude-issue-toolkit - Full issue lifecycle plugin for Claude Code — create, validate, solve end-to-end
- keryx - AI release notes generator from PRs and conventional commits (Rust CLI)
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Rust microservices with Axum, Actix-Web, and Tokio. gRPC services via Tonic. Async-first architecture with connection pooling, circuit breakers, and comprehensive observability (Prometheus, ELK, structured logging). |
Production ML pipelines with scikit-learn, XGBoost, and Random Forest models. Vector embeddings with Qdrant. RAG systems with LLM integration. Image generation with SDXL + ControlNet. |
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WebSocket servers handling 1000+ concurrent connections. Message-driven architectures with RabbitMQ. Stream processing for market data. TimescaleDB for time-series at scale. |
Multi-strategy platforms with DBSCAN clustering for liquidation detection. Technical indicators (RSI, MACD, Bollinger Bands). ML-enhanced signal filtering. Backtesting engines with walk-forward validation. |
SYSTEMS Rust · Tokio · Axum · Actix-Web · Tonic (gRPC) · SQLx
ML/AI Python · scikit-learn · XGBoost · Diffusers · LangChain · OpenAI
DATA PostgreSQL · TimescaleDB · Redis · RabbitMQ · Qdrant
FRONTEND TypeScript · Next.js · React · Tailwind
INFRASTRUCTURE Docker · AWS · Supabase · Cloudflare R2 · Prometheus · ELK
- Building trading infrastructure - Rust-powered analytics and ML-enhanced signal pipelines for crypto markets
- Shipping AI products - From real-time sales coaching to fashion photography diffusion models
- Open source tooling - Developer tools for AI workflows and release automation
"Ship beats perfect" — I build high-performance systems to solve real problems, then iterate relentlessly. Rust for speed, Python for intelligence, TypeScript for interfaces.
Featured: Athenum Architecture
ANALYTICS PLATFORM (Rust)
├── whale-wall-tracker Real-time large order detection across Binance, Hyperliquid, Coinbase
├── liquidation-analyzer DBSCAN clustering for liquidation level detection
├── orderbook-archiver 5-minute snapshots with TimescaleDB hypertables
├── market-aggregator Multi-exchange price/volume aggregation
└── api Actix-web REST + WebSocket SSE, Prometheus metrics
TRADING STRATEGIES (Python)
├── Smart Money Order Blocks, FVG, Multi-RSI divergence, XGBoost signal filter
├── Hedge Scalping EMA grid strategy for Hyperliquid DEX
├── HF Momentum Multi-timeframe momentum with ATR-based position sizing
└── DEX-CEX Arbitrage Spread monitoring between Lighter DEX and Binance
Stack: Rust (Tokio, Actix-Web, SQLx) · Python (scikit-learn, XGBoost) · TimescaleDB · RabbitMQ · Redis
Building systems where milliseconds matter.