CV
Computer Vision
Detection, segmentation and analysis for challenging imagery — including satellite and remote-sensing pipelines where labels are scarce and quality matters.
// freelance ML engineering
Practical machine learning for vision, multimodal & data-centric AI.
MaineFrame Labs is a one-person ML engineering studio led by a PhD researcher with industry experience — building production-grade computer vision and multimodal generative AI systems, with a data-centric edge grounded in active learning and uncertainty quantification.
Focus areas
What we work on
Three tightly related disciplines, brought together under one roof so models ship reliable and stay reliable.
MM
Multimodal Generative AI
Building with vision-language models and multimodal pipelines — and critically, understanding their limits through targeted evaluation and explainability work.
DC
Data-Centric AI
Active learning loops and uncertainty quantification to spend labeling budget where it matters and to know when a model's predictions can be trusted.
End to end
We own the entire pipeline
From the first look at the raw data to monitoring a model in production — one accountable engineer across every stage, so nothing falls through the gaps between hand-offs.
01
Data inspection & cleaning
Profiling, labeling strategy, and cleaning — catching the label noise, leakage, and distribution oddities that decide whether a model can succeed at all.
02
Modeling & evaluation
Training with an honest evaluation harness, calibrated uncertainty, and active learning — measuring what matters, not what's easy to metric.
03
Deployment
Reproducible pipelines and packaging so the model that shipped is the model that was evaluated — deployed into your environment, not a notebook.
04
Post-deployment monitoring
Drift, calibration, and performance tracking after launch, with feedback loops that feed straight back into data and the next training cycle.
Engagement
Have a problem that needs a model?
Freelance, project-based, or embedded with your team. If it touches vision, multimodal AI, or data quality, it's probably a fit.