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Computer vision

Computer Vision AI Prototypes

I build and optimize computer vision prototypes with deployment constraints in mind: accuracy, memory, speed, and maintainable backend architecture.

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Best Fit

  • Computer vision proof-of-concepts
  • Classification and detection workflows
  • Model optimization under hardware or memory constraints

Typical Deliverables

  • Prototype model pipeline
  • Accuracy and constraint trade-off notes
  • Quantization or optimization plan
  • Backend integration path

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Related Case Studies

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Computer Vision Science Centre Optimization

Optimized CV models for a Science Centre, reaching 98% classification accuracy under strict memory constraints.

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AnimoEats Award-Winning Thesis

Institutional Thesis Competition Overall Champion at DLSU-Dasmarinas. AI-powered platform addressing student nutrition.

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next step

Have a workflow or prototype in mind?

Send the rough idea, the current bottleneck, and what a successful demo would need to prove. I can help scope the fastest useful version.