AI & Data Automation
Custom data pipelines and ML integrations that turn manual processes into reliable automated workflows.
The Problem I Solve
Your team is spending hours on manual data processing that should be automated. Or you know AI could improve your product, but you're not sure how to go from proof-of-concept to production. The gap between a working notebook and a reliable production system is where most AI projects stall.
I help teams build data automation and ML systems that actually work in production — not just in a demo.
What I Do
- Data pipeline development — Automated ETL workflows that are reliable, monitored, and easy to maintain
- ML model integration — Taking models from prototype to production with proper serving infrastructure
- Process automation — Identifying repetitive manual work and building systems to handle it
- Data quality systems — Validation, monitoring, and alerting for your data pipelines
- AI-powered features — Integrating language models, recommendation systems, and other AI capabilities into existing products
- Technical assessment — Evaluating whether AI is the right solution for your problem (sometimes it isn't)
Technologies
- Python
- pandas
- scikit-learn
- TensorFlow
- PyTorch
- Apache Airflow
- AWS SageMaker
- Spark
- SQL
- LLM APIs
How I Work
I bill hourly and work directly with your team. For AI and data projects, I always start with a clear assessment of what's feasible and what the expected ROI looks like before building anything. No hype, no overselling — just honest guidance on what will move the needle for your business.
Discuss your data & AI project