Thomas Ludwig

At Clear Street, I build full-stack monitoring and analytics tools that provide real-time visibility into high-throughput financial data pipelines. I use Python and React to help teams investigate systems, explore market analytics, and resolve incidents faster.

I engineer Node.js and PostgreSQL microservices, secure RESTful APIs, and fault-tolerant Kafka event streams for distributed financial systems. I also optimized SQL queries and Redis caching to reduce API latency by over 40% during peak trading volumes.

I’ve modernized legacy frontend codebases with TypeScript component libraries, built automated testing and CI pipelines with Docker and GitHub Actions, and scaled AWS services for enterprise-level data loads. I care about code quality, clear documentation, architecture reviews, and mentoring engineers on design patterns and algorithmic efficiency.

I’m motivated by complex algorithmic problems, rapid product iteration, and building reliable tools that help customers use machine learning and analytics effectively.