Services
I help teams design, build, and scale data platforms and ML systems—whether you need hands-on engineering, technical leadership, or strategic guidance to move faster and ship with confidence.
End-to-end design and implementation of data platforms that scale with your business and empower teams to make data-driven decisions.
- Pipeline architecture and orchestration
- Data storage and access pattern design
- Performance optimization at scale
- Cloud-native infrastructure setup
Building the data foundation your ML teams need—from raw data ingestion to model-ready datasets that accelerate training cycles.
- Training data pipeline design
- Annotation workflow systems
- Feature engineering infrastructure
- Multi-modal data processing (images, point clouds, time-series)
Internal tools, dashboards, and applications that bring data insights to the people who need them—built for usability and maintainability.
- Data visualization dashboards
- Internal tooling and admin interfaces
- API development for data services
- Integration with existing data infrastructure
Guiding cross-functional teams through complex data initiatives, from roadmap to production—with a focus on sustainable delivery.
- Team leadership and mentorship
- Stakeholder alignment and communication
- Project planning and execution
- Process improvement and DevOps practices
Strategic guidance on data architecture decisions, technology choices, and platform evolution—based on hands-on experience building systems at scale.
- Architecture reviews and recommendations
- Technology roadmap planning
- Cloud and data strategy
- Technical due diligence