Engineering leader building AI, data, and cloud platforms into scalable B2B SaaS products.
I lead software engineering for the AvodahConnect business unit at Avodah, where globally distributed teams build AI-powered products for document translation, transcription, and preservation of low-resource languages.
Previously, I led a 30+ person AI/ML, MLOps, and data engineering organization at ConnectWise. My work included building a centralized Amazon SageMaker platform used by 50+ product teams, modernizing batch data systems into real-time streaming platforms, and delivering cybersecurity ML systems that reduced targeted security incidents by approximately 80%.
- Engineering leadership and organizational design
- Applied AI and generative AI product development
- Data, ML, and platform engineering
- MLOps, cloud infrastructure, and DevOps
- Reliable and governed agentic systems
- B2B SaaS, MSP software, and cybersecurity
- Agentic AI IVR Demo — A containerized FastAPI and WebSocket service for experimenting with agentic voice workflows, structured configuration, and production-oriented observability.
- Agent Skills — Reusable Agent Skills for Codex, Claude Code, OpenCode, and other tools supporting the Agent Skills format.
- AWS NLP Data Pipeline — A serverless streaming architecture that enriches text data with NLP metadata using CloudFormation, Lambda, Firehose, Comprehend, Elasticsearch, S3, and GitHub Actions.
- SageMaker Studio EFS Migration — A Python utility for automating storage migration between Amazon SageMaker Studio domains.
- Python ScreenConnect — An earlier open-source Python interface for the ConnectWise ScreenConnect API.