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Writing about Quantitative Finance and Machine Learning
:bowtie:
Writing about Quantitative Finance and Machine Learning

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JordiCorbilla/README.md

Hi there 👋

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 at Balyasny 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 in Computer Engineering and a Bachelor’s in Computer Engineering from the Open University of Catalonia, as well as a Bachelor’s in Industrial Electronics Engineering from the University of Girona. I also hold specializations in Investment Management with Python and Machine Learning (EDHEC), Financial Engineering and Risk Management (Columbia University), and Machine 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 on LinkedIn or follow me on Twitter. 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-learning stock-prediction-deep-neural-learning Public

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

    Jupyter Notebook 522 114

  2. ocular-disease-intelligent-recognition-deep-learning ocular-disease-intelligent-recognition-deep-learning Public

    ODIR-2019. Ocular Disease Intelligent Recognition Through Deep Learning Architectures

    Jupyter Notebook 57 28

  3. AI-Tutor AI-Tutor Public

    Merlin is an AI-powered Telegram bot designed to enhance user learning and engagement by providing quick, accurate, and succinct answers to a wide range of questions. Utilizing advanced natural lan…

    Python 1

  4. table.lib table.lib Public

    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# 8 2

  5. thundax-delphi-physics-engine thundax-delphi-physics-engine Public

    🛴 "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.

    Pascal 73 20

  6. portfolio_risk_kit portfolio_risk_kit Public

    The Portfolio Risk Kit is a comprehensive Python tool designed to assist investors in evaluating and managing the risk associated with their investment portfolios. This kit implements various finan…

    Jupyter Notebook 1