Back-End Development
Server-side applications, APIs and data pipelines — designed to run reliably in production and to be maintained by a team.
Vitória, Espírito Santo — Brazil
WyctorFogos da Rocha
Machine Learning Engineer & AI Researcher
I design intelligent systems that combine multimodal learning, computer vision and software engineering to solve real-world problems in healthcare and the public sector. My work spans AI research, deployment-oriented machine learning and backend engineering.
15
Publications & books
5
Professional roles
2
Countries worked in
MSc
Information Technology, Ufes
Research
Research interests
My research sits at the intersection of multimodal learning and healthcare — models that read images and clinical context together, and explain what they saw.
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Multimodal Learning
Fusing images with clinical metadata through attention-based architectures.
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Medical AI
Computer-aided diagnosis under real clinical constraints — missing data included.
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Computer Vision
CNN and Transformer backbones for classification, detection and super-resolution.
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Large Language Models
LLMs as semantic transducers, turning structured metadata into rich descriptions.
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Neural Architecture Search
LLM-driven search for multimodal architectures that stay light enough to deploy.
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Explainable AI
SHAP analysis, calibration and stepwise reasoning that clinicians can follow.
What I do
Where engineering meets data
An Electrical Engineering foundation, a Master's in Data Science and hands-on backend work — applied to problems in industry, healthcare and civil structures.
Data Science & Machine Learning
Machine Learning, Computer Vision and Deep Learning models, from exploration and benchmarking through to peer-reviewed publication.
Data Analysis & Tech Consulting
Turning operational data into decisions — analysis, modelling and technical guidance for engineering and industrial contexts.
Trajectory
From scientific initiation to applied AI
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2019 — 2020
Ifes
Scientific initiation research — the first steps into applied AI.
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2022
France
Master 2 in Data Science at Télécom SudParis and a research internship at Université Sorbonne Paris Nord.
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2022 — 2024
MESHNODES · Start ID
Backend engineering, data science and data analysis in production systems.
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2024 — 2026
Ufes
MSc in Information Technology at PPGI — LLM-driven architecture search for multimodal skin lesion classification.
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2025 — Present
Tribunal de Justiça do ES
Machine Learning Engineer building Computer Vision and AI systems for the judiciary.
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Next
PhD
Deepening the research on multimodal learning and medical AI.
Toolbox
Areas of expertise
Let's talk
Open to conversations about backend, data science and research collaborations.