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javier veraJV
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javier vera

@javiervera

I build multimodal and transformer-based AI models for medical imaging and surgical video understanding.

Colombia
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What I'm looking for

I'm looking to apply my deep learning and computer vision research experience to applied biomedical AI, especially multimodal medical imaging and surgical video understanding, while continuing to grow through rigorous research and collaboration.

I co-developed CARDIUM at Universidad de los Andes, combining fetal echocardiography images and maternal clinical data to detect congenital heart disease. Our model achieved an F1 score of 79.8% ± 4.8%, improving detection by 11% over image-only and 50% over tabular-only baselines, and was published at the ICCV 2025 CVAMD Workshop.

For my master's thesis, I designed KeyLaTCVS, a gated latent-query transformer for laparoscopic surgical video assessment that improved macro mAP by 11.7 points over the published baseline while reducing temporal-model complexity roughly 18-fold. I work across architecture design, preprocessing, validation, and error analysis in PyTorch, and I also support computer vision students as a Graduate Teaching Assistant.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Universidad de los Andes logoUA

Universidad de los Andes

Master of Science, Biomedical Engineering

Grade: 4.67/5.0

Pursuing a Master of Science in Biomedical Engineering with a thesis on temporal review support for critical view of safety assessment in laparoscopic cholecystectomy. Expected degree conferral in October 2026.

Universidad de los Andes logoUA

Universidad de los Andes

Bachelor of Science, Electronic Engineering

Completed a Bachelor of Science in Electronic Engineering.

Universidad de los Andes logoUA

Universidad de los Andes

Bachelor of Science, Biomedical Engineering

Grade: 4.53/5.0

Completed a Bachelor of Science in Biomedical Engineering with a cumulative undergraduate GPA of 4.53/5.0.

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