Hello!

I'm Albert Marín

Software Engineer Student | Software Development & AI & Quantitative Finance Enthusiast

About Me

I bridge the gap between complex mathematical theory and scalable software. Currently a Computer Engineering student at the University of Barcelona, I focus on the intersection of Reinforcement Learning and Financial Markets. Whether I'm optimizing Q-Learning agents to solve State Space problems or building full-stack mobile ecosystems, I thrive on transforming abstract concepts into tangible solutions. With a strong foundation in software engineering and a relentless drive for innovation, I'm eager to contribute to cutting-edge projects that push the boundaries of technology and finance.

AI & Data Science

Machine Learning Scikit-Learn NumPy/Pandas Linear Algebra Data Structures & Algorithms (DSA) Statistical Modeling

Software Engineering

Python Java C++ C Android (Java/XML) Reactive Programming (RxJava) SQLite/Database Design Firebase Cloudinary Git Docker

Quantitative Finance

Algorithmic Trading Risk Management Technical Analysis Alpaca API

Projects

01

Hybrid Phishing Detector AI

Developed a dual-layer detection engine using the UCI Phiusiil Phishing URL Dataset, achieving 99.56% accuracy. Combined a Q-Learning agent for state-space pattern memorization with a KNN fallback to classify zero-day URLs.

PythonReinforcement LearningKNNQ-LearningScikit-LearnData Discretization
02

Geospatial Social Review Ecosystem "CagaUB"

Full-stack Android application for real-time location reviews. Implemented RxJava for reactive data handling and integrated Firebase and Cloudinary for scalable backend storage and media management.

AndroidXMLJavaRxJavaGoogle Maps APIFirebaseCloudinary
03

Volatility-Adjusted Trading Framework (in development)

Developing an automated trading system utilizing Donchian Channels and ADX as my bachelor's thesis. The framework is designed to evaluate performance through Sharpe Ratio and Average Return per Trade, utilizing Alpaca API for real-time market data and a local SQL caching layer for OHLC and volume data to minimize API calls.

PythonAlgorithmic TradingRisk ManagementAlpaca APISQLPandas
04

ML-Market Predictor

Modular machine learning pipeline for forecasting daily stock prices and simulating trading strategies. It evaluates model accuracy using absolute and percentage errors, and includes a backtesting engine to compare predictive trading ROI against a traditional buy-and-hold approach.

PythonDeep LearningPredictive AnalyticsAlpaca APIPandasScikit-Learn
05

Algorithmic Research: NLP & Recommendation Systems

A dual-project exploration into from-scratch probabilistic modeling and high-performance vectorized engines.

Language Detection via Open N-Grams

Built a Multinomial Naive Bayes classifier from scratch. Implemented an adaptation of 'Open N-Grams' to maintain 95% accuracy despite character perturbations and typos.

Heuristic User-CF Recommender

Engineered a vectorized recommendation engine for the MovieLens 1M dataset. Optimized Euclidean similarity matrices using NumPy broadcasting.

PythonNumPyLinear AlgebraProbabilistic ModelingVectorization

Experience

Summers 2023 – 2025 (3 Consecutive Tenures)
  • Utilized SAVAC (Sanitary ERP) to coordinate patient diagnostics (TAC, RX, Analytics) and flow within a high-pressure clinical environment.
  • Entrusted with GDPR-protected health documentation and medical agendas, ensuring data integrity and patient confidentiality.
  • Managed reception logistics, coordinating admissions for spontaneous arrivals and ambulance entries.
  • Demonstrated strong adaptability and resilience by consistently being rehired to support critical hospital infrastructure.
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Pharmaceutical Patient Support & Logistics Assistant

Farmàcia LaSans-Olot (Internship)

Summer 2022
  • Supported pharmaceutical logistics and inventory management as part of a competitive school-to-work program.
  • Gained early exposure to professional healthcare environments, focusing on precision, regulatory compliance, and patient service.

Education

Bachelor's Degree in Computer Engineering

Universitat de Barcelona (UB)

2023 - 2027 (Expected)

Status: 155 ECTS Credits Completed

Average Grade: 7.43 / 10

  • Specialization: Software Architecture, Advanced Data Structures, and Algorithmic Complexity.
  • Thesis Focus: Development of scalable automated trading systems and SQL-based market data infrastructure.
  • Consistent focus on the intersection of Quantitative Finance and performant Software Engineering.

Scientific & Technological Batxillerat

Institut Garrotxa (Olot)

2021 - 2023
  • Focused on Mathematics, Physics and other pivotal scientific subjects.
  • Completed non-compulsory pre-university cycle with an emphasis on engineering foundations.

Catalan

Native

Spanish

Native

English

C1 (Advanced) - Currently Preparing for Certification