Conceptual rainforest landscape with waterfalls, trees, and mist.

BRYAN MACHUCA AI & DATA ENGINEER

From data
to something that works.

Computer vision, AI agents, and data systems. I connect models, software, and infrastructure on AWS.

Explore projects

Keep exploringForest, water, and calm / conceptual scene

BRYAN MACHUCA AI & DATA ENGINEER

/ COMPUTER VISION

Computer vision. In action.

Eight demonstrations. Choose one to explore it.

Person and phone
Object/person detection and association. Does not establish distraction or an infringement.
Open ↗

See the infrastructure impact ↓

Processed samples and real captures. Results from each scene.

Open all eight demonstrations:

KUIDDA / SOFTWARE & CLOUD

Impact also comes
from within.

Migration from Python to Go, microservice optimization, and cloud architecture improvements.

Python
Go
AWS

−78%

in production costs

Documented result from my professional experience at KUIDDA.

02 / GAPTURE × KUIDDA

From seeing
to counting.

Products and potential gaps, on the real photo. See what changes when detections appear.

Gapture is a team project. My contribution: data analysis and preparation. Original photos and model output; not live inference.

Counting demo ↗GitHub ↗Watch Gapture in action ↗

Real shelf photo with original product and gap detections. — Real photo / model detections

04 / 3D VISUALIZATION / CAMERAS

Before installing,
change perspective.

Explore three vehicles, cameras, and their fields of view. Drag to see a different angle.

Conceptual mining vehicle with cameras and illustrative fields of view

05 / NEXQORI / CONVERSATIONAL AI

Conversation
is an interface too.

Voice, data, and actions with human review. A team prototype for the Factored hackathon.

Original screenshots in Spanish · synthetic data

Watch video View code Open demo

My role: team leadership and integration of AI, backend, and deployment. Prototype captures with synthetic data.

BRYAN MACHUCA / AI & DATA ENGINEER

From the model
to the experience.

I am Bryan Machuca, a mechatronics engineer from UNI. I have nine years of experience using Python, and my current work focuses on computer vision, applied AI, and data systems.

I have worked with video, sensors, data platforms, and business software. That combination helps me understand the whole system, from data quality to the experience of the person using it.