Ana Cecília Silveira Fernandes User

At INATEL, I develop and integrate Python-based computer vision pipelines for textile defect detection, using image segmentation and model inference. I also connect REST API services and Docker-based applications on Linux.

For an automated textile defect detection project, I developed U-Net image segmentation workflows with Python and TensorFlow/Keras, then assessed model quality, false positives, and false negatives. I also used ComfyUI and FLUX image-inpainting workflows to synthesize training imagery.

My graduate research at INATEL explores wireless energy transfer through computational simulations, comparing Particle Swarm Optimization and Bat Algorithm approaches. I’m interested in building, integrating, evaluating, and deploying practical AI solutions.