Pedro Henrique
Ramos Prado, MSc.
CEO & Founder · AI Research Scientist · AI Engineer
Computer scientist, UFPR PhD candidate in AI and Computer Vision, with over 25 years building software and applied AI. He leads Escape79 with the same obsession that guided him through healthcare, fintech and government: turning data into decisions, and decisions into real outcomes.
A rare journey — from research bench to the boardroom.
Pedro combines cutting-edge AI research with product execution and business vision — and it shows in every technical decision at Escape79.
Cutting-edge AI research
M.Sc. in Computer Science and PhD candidate at UFPR, focused on Computer Vision, Deep Learning and Image Processing. Certified Deep Learning Specialist, with peer-reviewed publications in conferences and journals.
High-impact healthtech
Spent 8 years at Quanta Diagnóstico e Terapia, 4 as CIO. Led PACS server integration, HL7 and TISS standards, and the development of a full clinical ERP used daily in production.
Three companies founded
CEO and founder of Escape79, Nexance Tecnologia, and Transcender Inteligência Artificial. CEO of AIQIA and former CTO of Axon S/A, with a proven track record of building and leading senior engineering teams.
International recognition
Consultant at the International Atomic Energy Agency (IAEA) in Vienna, Machine Learning committee member at I2AI, and NASA Space Apps Challenge awardee. Applied research that makes it to production.
Over 25 years building software and AI.
A track record spanning healthcare, fintech, government, industry, and applied research.
CEO
AIQIA
2024 — PresentSão José dos Pinhais, PRCEO & Founder
Escape79
2024 — PresentCuritiba, BrasilCEO & Founder
Nexance Tecnologia
2020 — PresentCuritiba, BrasilCTO
Axon S/A
2023 — 2025São José dos Pinhais, PRMachine Learning Committee Member
I2AI — Association of Artificial Intelligence
2020 — 2025São Paulo, BrasilDeep Learning Engineer / Founding Director
Transcender Inteligência Artificial
2020 — 2023Curitiba, BrasilChief Information Officer
Quanta Diagnóstico e Terapia
2016 — 2020Curitiba, BrasilDiagnostic Imaging / Education Specialist
IAEA — International Atomic Energy Agency
2019Vienna, Austria
Solid academic foundation.
PhD in AI and Computer Vision
Universidade Federal do Paraná (UFPR)
M.Sc. in Computer Science (Computer Vision)
Universidade Federal do Paraná (UFPR)
MBA in Information Technology
Uniamerica
Nanodegree in Deep Learning
Udacity
Peer-reviewed published research.
Contributions to applied AI in healthcare, medical imaging, and preventive cardiology.
- 1
Detection of the left ventricle of the heart for the generation of multimodal hybrid images with a timeless acquisition.
- 2
Does positive family history for premature coronary artery disease increase the cardiovascular risk among elderly?
- 3
Does age matter for the association between positive family history for premature coronary artery disease and elevated coronary calcium score?
- 4
Radiation exposure after myocardial perfusion imaging with Cadmium-Zinc-Telluride camera versus conventional camera.
- 5
Functional capacity is higher in regions with greater Walkability.
Awards and recognition
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