With over two decades of experience designing and building end-to-end systems, I have developed a deep technical skill set and a passion for delivering impactful solutions. Originally from Spain and now based in the UK, I currently serve as a Senior Software Engineer in the Trading Execution & Compliance Technology team atBalyasny Asset Management, a top-tier global multi-strategy hedge fund.

In my role, I architect and implement mission-critical trading and compliance platforms, leveraging cutting-edge technologies such as .NET, Python, and React. My work spans from backend engineering to user interfaces, ensuring robust, scalable, and secure systems that support complex, high-volume trading operations.

My academic background includes a Master’s inComputer Engineering and a Bachelor’s inComputer Engineering from the Open University of Catalonia, as well as a Bachelor’s in IndustrialElectronics Engineering from the University of Girona. I also hold specializations inIBM Data Science,Investment Management with Python and Machine Learning (EDHEC),Financial Engineering and Risk Management (Columbia University), andMachine Learning Specialization (Stanford University). These credentials enable me to seamlessly bridge technology and finance, applying advanced analytical and quantitative techniques to drive innovation.

I am continuously exploring new technologies, currently focusing on Deep Learning models in Python. Beyond my professional work, I share my insights and experiences on my blog,"Random Thoughts on Coding & Technology".

Feel free to connect with me onLinkedIn or follow me onX. I’m always open to collaborating, networking, and discovering new opportunities to blend technology, finance, and cutting-edge research.

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1. stock-prediction-deep-neural-learningstock-prediction-deep-neural-learningPublic

   Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

   Jupyter Notebook 563 120

2. ocular-disease-intelligent-recognition-deep-learningocular-disease-intelligent-recognition-deep-learningPublic

   ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This re…

   Jupyter Notebook 60 28

3. table.libtable.libPublic

   Simple c# (.NET 8) table library that renders any List<T> or Dictionary<TV, T> into a nicely formatted markdown, CSV, HTML, specflow or console table, allowing for extra formats. It also supports d…

   C# 18 3

4. RiskOptimaRiskOptimaPublic

   The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advan…

   Jupyter Notebook 1

5. thundax-delphi-physics-enginethundax-delphi-physics-enginePublic

   🛴 "Thundax Delphi Physics Engine" is a Delphi-based 2D physics engine for simulations and visualizations. It employs Pascal and is ideal for learning and experimenting with 2D physics concepts.

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6. atom-table-monitoratom-table-monitorPublic

   ⚛️ Monitoring tool for global atom table and RegisterWindowMessage identifiers

   Pascal 67 15