Summary
Batuhan Usluel is a founding engineer and pragmatic full-stack builder with nine years of experience designing real-time trading and agentic systems, currently based in San Francisco. He blends low-latency market microstructure work (Java/Spring, Kafka, in-memory DBs) with ML-driven products—examples include an LLM-powered prediction-market trader and a multi-model Solana token trading system that turned rapid token flows into outsized short-term returns. Comfortable across GCP, Pub/Sub, BigQuery, Python, TypeScript/Node, and React, he ships production-ready infra and developer tooling that prioritizes reliability and observability. Batuhan also maintains notable open-source trading tools (cross-exchange arbitrage and cluster-based support/resistance detectors) and builds consumer-facing ML utilities like RetailGPT and InboxVoicer. He’s particularly skilled at turning noisy real-time signals into actionable systems and often runs dedicated validators/validators-infrastructure to squeeze out latency and fidelity gains.
10 years of coding experience