03 · ML & Vision
Applied ML & Vision.
Custom ML models, computer vision pipelines, and the data infrastructure behind them.
What we deliver
Concrete outputs you can ship.
Custom-trained vision models (YOLO, SAM, CLIP)
Image/video processing pipelines
Document understanding (layout, OCR, extraction)
Time-series forecasting
Data pipelines (Airflow, dbt, Kafka)
How we work on this
A focused 3-step engagement.
01
Data audit
We profile your data: volume, labels, drift, gaps. Most ML projects fail at the data layer; we surface that risk before training a model.
02
Train and benchmark
Baseline first, then iterate. We track every experiment and benchmark against a frozen test set. No vibes-based model selection.
03
Productionize
Inference service, monitoring for drift, retraining triggers, and a clear handoff to your team.
Tech we use
The stack behind the work.
PyTorch
Hugging Face
YOLO
Ultralytics
OpenCV
ONNX
Triton
Airflow
dbt
When to hire us for this
You need this if…
- You need a custom model — off-the-shelf APIs don't fit your data.
- Your existing model works in a notebook but nowhere else.
- You're processing images, video, or documents at a scale where prompts won't cut it.
Ready to start?
Tell us about your project. We respond within one business day.