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Build and train computer vision models for object detection, image classification, and segmentation using open-source or custom datasets.
Integrate vision models into applications and workflows through APIs (e.g., OpenCV, YOLO, Roboflow, HuggingFace).
Develop and deploy functional prototypes using platforms such as Lovable, FlutterFlow, Zapier, Glide, Notion API, or Retool.
Combine no-code tools with backend scripting (Python/JavaScript) to
create and deliver practical MVPs.
Establish data pipelines to ingest, classify, and log visual inputs from field imagery or CCTV streams.
Collaborate with internal stakeholders and field teams to design, test, and refine user interfaces and operational workflows.