Engineering Manager and Systems Architect with 20+ years of experience building distributed systems, fintech platforms, and high-throughput engineering teams.
I currently lead remote engineering teams at MarketAxess, working across Java, Spring Boot, Kafka, Kubernetes, AWS, CI/CD, and trading infrastructure.
Lately I’m exploring AI-assisted development, agentic coding workflows, repo-scoped memory, local LLM benchmarking, and multi-agent patterns for software engineering teams.
- AI-assisted software engineering
- Agentic coding workflows and multi-agent collaboration
- Local LLMs and practical Apple Silicon benchmarking
- Repo-scoped memory and AI developer tooling
- Engineering leadership and team effectiveness
- Distributed systems and event-driven architecture
- Fintech and trading infrastructure
- Developer automation
- local-llm-benchmark - practical Apple Silicon benchmark comparing DiffusionGemma, Gemma 3, and Qwen3 local LLM performance on an M4 Pro MacBook Pro
- pi-product-expert-workflow - local multi-agent workflow where a Coder agent consults Product Expert and QA agents before making product-sensitive changes
- repo-memory-mcp - repo-scoped memory for AI coding agents
- LinkedIn: Andy Steinmann
- Website: https://andysteinmann.com

