ML Systems & Modeling
Design and deploy ML solutions with measurable impact.
- Model design (PyTorch/TF)
- Evaluation & monitoring
- GPU inference APIs
Practical engineering for ML, data, and full-stack — delivered with clarity and speed.
Pick a lane — or combine them for end-to-end delivery
Design and deploy ML solutions with measurable impact.
Reliable pipelines for analytics and products.
Full-stack applications with modern tooling and clean UX.
Clear milestones and check-ins keep momentum without surprises.
Clarify goals, scope, constraints, and timing.
Plan data/ML/UX architecture and success metrics.
Iterate quickly, demo often, measure progress.
Handoff, docs, and light support runway.
What collaborators and stakeholders have said
“He took a messy dataset and produced a reliable pipeline and dashboard our team actually uses.”
CFO at Stamford Wrecking Company
“Danny was able to walk us through the process and easily adapt to our needs when requirements changed mid-project.”
Operations & Logistics Specialist at Carrington Farms
“Clear communication, measurable results, and thoughtful engineering tradeoffs.”
Manager at Central Rock Gym