Research-to-Production Consulting
Your research is done. Now make it run.
I take your research proof-of-concept and convert it into a production-grade system.
Who this is for
- → Research teams with working notebooks they can't get to production
- → Startups with ML prototypes that need to scale
- → Data science teams whose models never make it past the review stage
- → quantitative researchers building their first live trading infrastructure
Problems this solves
- • Prototype works in a notebook but fails under real data conditions
- • No one on the team has production ML engineering experience
- • Research assumptions don't hold when latency, throughput, and correctness matter
- • Stakeholders can't use the model output without heavy manual interpretation
What I do
Productionization
Convert notebooks into maintainable, testable, deployable systems
Infrastructure Setup
Containerization, API serving, logging, monitoring, alerting
Documentation
Architecture docs, data dictionaries, and stakeholder-facing summaries
Handoff
Training your team to own and extend the system
Performance Hardening
Latency, throughput, and reliability improvements for production load
Deliverables
- ✓ Production-ready codebase with CI/CD
- ✓ Architecture documentation
- ✓ Monitoring and observability setup
- ✓ Team training and knowledge transfer
Example outcomes
Multiple prototype-to-production deployments at Blue Yonder
Live trading infrastructure from research at Mastertrust
Full data product ownership at GoGlocal from prototype to scaled system
Tools & methods
Related case studies
Lets collaborate!
Whether you need a quantitative researcher, an machine learning systems builder, or a technical advisor — I'm available for select consulting engagements.
Get in Touch →