Curriculum Vitae

Quantitative Developer / Software Engineering / Mathematical Finance & Machine Learning

Research Interests

Data-Driven Research Systems
Applied Machine Learning
Quantitative Finance
Mathematical Modelling
Scientific Computing
Data Engineering

Personal Statement

Software engineer with a strong interest in data-intensive systems, mathematical modelling and machine learning. I am currently developing a deeper foundation in advanced postgraduate mathematics and quantitative finance, with the goal of applying rigorous analytical methods to financial markets and complex data environments. My background in data pipelines, cloud infrastructure and security analytics allows me to bridge practical engineering with research-oriented computation, building systems that are reliable, interpretable and technically robust.

Work Experience

Software Engineer & Data Engineering Intern

Telefónica Tech | Madrid

June 2025 - December 2025

Designed and automated scalable data pipelines to consolidate heterogeneous infrastructure and security data into a unified analytical environment.
Implemented data modelling and transformation workflows to support structured analysis, reporting and operational decision-making.
Automated ingestion pipelines for security sources including SIEM, IDS/IPS and log systems, reducing processing times by approximately 30%.
Built dashboards and analytical views for monitoring risk KPIs, attack patterns and indicators of compromise, improving SOC visibility and response capabilities.
Developed integration tooling using Python, PHP, cloud-based services and data processing frameworks.

Education

BSc Computing Science - Data Science & Big Data

GPA: - /4.0

Dublin Business School (DBS)

2023 — 2027

BSc Software Engineering

GPA: 3.7/4.0

Immune Technology Institute

2023 — 2027

Certificate in Analysis and Professional Trading

GPA: 3.88/4.0

Instituto BME

2020 — 2021

Certifications

Machine Learning Specialization

In Progress

Coursera / Stanford Online

Supervised learning, neural networks, model evaluation and practical machine learning workflows.

IT Specialist — Data Analytics

Issued Feb. 2026 · Expires Feb. 2031

Pearson

Certification focused on data analytics fundamentals, data interpretation, analytical workflows and applied data-driven decision-making.

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AWS Certified Solutions Architect — Associate

Issued Aug. 2024 · Expires Aug. 2027

Amazon Web Services (AWS)

Validates the ability to design secure, resilient, high-performing and cost-optimized architectures on AWS cloud infrastructure.

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AWS Certified Cloud Practitioner

Issued Aug. 2024 · Expires Aug. 2027

Amazon Web Services (AWS)

Foundational certification covering AWS cloud concepts, core services, security, architecture, pricing and operational best practices.

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Asesor Financiero Certificado - Analysis & Professional Trading (Instituto BME)

Certified

CNMV — Comisión Nacional del Mercado de Valores

Certification associated with financial advisory knowledge, investment products, regulatory principles, client suitability and financial market fundamentals.

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Technical Proficiency

Category	Technologies
Programming	Python, TypeScript, JavaScript, PHP, Groovy, SQL, MongoDB, C++, Bash
Machine Learning	PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, SciPy
Quantitative Tools	Backtesting, Portfolio Optimization, Time-Series Analysis, Monte Carlo Simulation
Infrastructure	Linux, Docker, Git, AWS, Azure, Tailscale, REST APIs, Data Pipelines

Selected Coursework

Undergraduate Core Modules	Standing
Data Structures	First Class
Algorithms	First Class
Object-Oriented Programming	First Class
Computer Architecture	Top 5%
Operating Systems	Top 10%

Undergraduate Specialized Modules	Standing
Data Science	First Class
Big Data	First Class
Artificial Intelligence I & II	First Class