09.09.2026 aktualisiert

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Senior AI & Computer Vision Architect | GenAI, LLM Evaluation, Agents | Technical Leader | PhD

Wien, 14. Bezirk, Penzing, Österreich
Nur Remote
PhD in Computer Vision / Medical Imaging, University College London
Wien, 14. Bezirk, Penzing, Österreich
Nur Remote
PhD in Computer Vision / Medical Imaging, University College London

Profilanlagen

Curriculum Vitae - Dr. Marcel Tella Amo.pdf

Über mich

Senior Computer Vision & Visual AI Architect, AI Engineer and Technical Leader, PhD UCL, 7+ years at PTC on Vuforia Engine. I build Generative AI, multi-agent systems, RAG and LLM evaluation frameworks, combining deep technical expertise with architecture, leadership and disciplined execution.

Skills

RAGLLMMLOpsKünstliche IntelligenzComputer VisionImagingMulti-Agent SystemsPrompt EngineeringGenerative AI




• Machine learning
• Computer vision algorithms
• Visual and electromagnetic tracking
• Image mosaicking
• Multimodal tracking
• Medical imaging
• C++, Python and MATLAB



• Vuforia Engine SDK development
• Algorithm development
• Software engineering
• SDK development
• Software testing and quality
• Unit testing
• Benchmarking frameworks
• Quantitative performance evaluation



• Machine learning research
• Benchmarking and comparative evaluation
• Experimental design
• Quantitative evaluation methodologies
• Technical decision-making
• Research translation into production engineering



• Evaluation of state-of-the-art methods
• Reproducible experimentation
• Software quality and reliability
• Cross-functional collaboration with researchers, engineers and clinicians

7+ years of production engineering experience at PTC Vuforia.
Research experience in computer vision and medical imaging, including algorithm development, benchmarking and quantitative evaluation.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2026

Sprachen

EnglischverhandlungssicherSpanischMuttersprache

Projekthistorie

Community Lead

Global AI Hub

Sonstiges

500-1000 Mitarbeiter

Community leadership role within the 10million AI initiative, a global non-profit initiative providing free access to education in artificial intelligence and digitalisation, supported by universities and institutions. Engaged with the global AI learning community, providing support and mentorship to members when needed.

Founder

Engineering Peak Impact
Developed educational programmes for software engineers and technical leaders on sustainable performance and decision-making under pressure. Built a 22-lesson flagship programme and a structured diagnostic instrument, translating cognitive science and systems thinking into practical tools for engineers. Created workshop curricula and learning materials. Author of online programmes reaching more than 40,000 learners worldwide and author of A.L.I.G.N.E.D., a practical framework for sustainable high performance and decision-making in knowledge work.

ICF Associate Certified Coach (ACC, PCC in Progress)

ICF / ACA Coach Academies
Completed ICF Level 1 and 2 coach training with 200+ hours at ACA Coach Academies in 2023. Accumulated 400+ logged coaching hours with 25+ distinct clients including senior software engineers, technical leads, and international leaders such as One Acre Fund. Focus on decision clarity under pressure, prioritisation, and performance in technical roles.

Senior Software Engineer

PTC Vuforia
Built computer-vision, tracking, and augmented-reality algorithms for the Vuforia Engine SDK, adopted by thousands of organisations worldwide within a 50+ person international engineering team. Served as lead developer on multiple projects, recognised for critical thinking and technical decision-making. Designed and implemented unit-test suites for the benchmarking framework and main SDK, driving unit-testing practice and supervising test creation in code review. Tracked state-of-the-art research at CVPR and ECCV and translated findings into practical improvements presented to the engineering team.

PhD Researcher

University College London
Conducted research in computer vision and medical imaging, developing algorithms for robust image mosaicking and multimodal tracking in minimally invasive fetal surgery. Designed, implemented, and evaluated novel computer vision methods using C++, Python, and MATLAB, combining visual and electromagnetic tracking to improve localisation accuracy. Built experimental frameworks, benchmarking pipelines, and quantitative evaluation methodologies to validate algorithmic performance on clinical datasets. Collaborated with clinicians, researchers, and engineers in an international multidisciplinary team.

Zertifikate

Neuroscience for Business

MIT Sloan School of Management

2026

Associate Certified Coach (ACC)

International Coaching Federation (ICF)

2022


Portfolio


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