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Mateus Amaral

@mateusamaral

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Data scientist and applied mathematician translating theory into production-grade ML and finance solutions.

Portugal

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What I'm looking for

I seek a role in a high-performing team where I can deploy theoretical models to production, work with scalable cloud infrastructure, and contribute to impactful ML or quantitative finance projects.

I am a Data Scientist and Applied Mathematician with experience in machine learning, quantitative finance, and cloud infrastructure. I design curricula and course syllabi, conduct fundamental research and tokenomic analysis, and build production-ready systems—from a novel Piecewise Symbolic Regression algorithm and its high-performance library to a live algorithmic trading infrastructure deployed on AWS and decentralized compute.

I optimize for scalable, cost-effective computation (Akash, VastAI, AWS), robust model training (Docker, ECS/Fargate), and pragmatic engineering practices (profiling, containerization). I am fluent in four languages and thrive in high-performing teams where I can convert complex theoretical models into efficient, production-grade solutions.

Experience

Work history, roles, and key accomplishments

Current

Assistant Professor

Current

Egas Moniz School of Health & Science

Sep 2024 - Present (1 year 3 months)

Course coordinator for two subjects, designing syllabi from scratch and adapting complex technical concepts for non-technical students to improve learning outcomes.

Curriculum Design Teaching Course Coordination Educational Content Development Communication Python Docker Academic Assessment

Researcher

Lisbon Investment Society

Sep 2021 - Jun 2023 (1 year 9 months)

Conducted fundamental research and tokenomic analysis to evaluate cryptocurrency investment opportunities and produced technical investment reports informing decisions.