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.
9 years of coding experience
2 years of employment as a software developer
Lexington High School
Bilkent Laboratory International School
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Purdue University
Bachelor of Science - BS Computer Science + Economics, Bachelor of Science - BS Computer Science + Economics at University of Illinois Urbana-Champaign
Contributions:40 pushes, 1 branch in 4 years 6 months
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