I'm a software engineer passionate about bridging the gap between cutting-edge AI and enterprise infrastructure. Currently, I'm focused on building robust, scalable LLM applications and distributed systems.
I'm the technical founder of Eidolon AI, an agent framework that enables developers to rapidly build and deploy production-grade AI applications. Some highlights:
- 🤖 Pioneered auto-discoverable multi-agent architecture
- 🚀 Secret Free, deterministic testing framework built in
- 📈 Growing community with 200+ unique users
An LLM-powered coding assistant designed to integrate directly with your version control system.
- Reduces compute by deduplicating work done per-developer (embeddings, prject exploration, etc)
- Allows teams to optimize systems per-project rather than individual developers re-honing local agents / prompts
- Obvious integration point for PR assistant agents to make small (and eventually large) changes.
A typed Python OpenAI client featuring:
- Pydantic-based schema definitions for tool calls and structured output
- Full streaming support
- IDE type hints
- Distributed Systems: Built and scaled enterprise ML platforms at DataRobot and Paxata
- Infrastructure: Extensive experience with Kubernetes, Docker, Helm, and cloud platforms (AWS, Azure)
- Languages: Python, Scala, Java, TypeScript
- Big Data: Apache Spark, MongoDB, Vector DBs
- MLOps: CI/CD pipelines, testing frameworks, deployment automation
Always interested in collaborating on innovative projects in AI, distributed systems, and developer tools. Feel free to reach out!