Skip to content
View JordiCorbilla's full-sized avatar
👽
Building trading, risk, compliance, and AI systems
👽
Building trading, risk, compliance, and AI systems

Highlights

  • Pro

Organizations

@jqPlot

Block or report JordiCorbilla

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JordiCorbilla/README.md

Hi there 👋

Jordi Corbilla banner

I’m a Senior Full-Stack & Quantitative Engineer building trading, compliance, risk, and AI systems.

With over two decades of experience designing and delivering end-to-end software, I specialize in building systems that need to be fast, reliable, scalable, and production-ready. Originally from Spain and now based in the UK, I currently work in the Trading Execution & Compliance Technology team at a top-tier global multi-strategy hedge fund, where I help architect and implement mission-critical platforms supporting complex, high-volume trading environments.

My work sits at the intersection of Python, C#/.NET, cloud-native engineering, portfolio analytics, and agentic tooling. I’m particularly interested in systems where strong engineering discipline, quantitative thinking, and practical automation come together to solve difficult real-world problems.

My academic background includes a Master’s in Computer Engineering, a Bachelor’s in Computer Engineering from the Open University of Catalonia, and a Bachelor’s in Industrial Electronics Engineering from the University of Girona. I have also completed advanced specializations in IBM RAG and Agentic AI, IBM Data Science, Investment Management with Python and Machine Learning, Financial Engineering and Risk Management, and Machine Learning Specialization.

I use this space to share projects across quantitative finance, AI, developer tooling, and applied machine learning. If you only look at one project, start with RiskOptima.

I also write about engineering, AI tooling, and software design on my blog, "Random Thoughts on Coding & Technology".

Feel free to connect with me on LinkedIn or follow me on X.

Flagship Projects

RiskOptima table.lib

stock-prediction-deep-neural-learning langgraph-cookbook

Quant Finance, AI & Engineering Portfolio

efficient-frontier-monte-carlo-portfolio-optimization index-vol-divergence-signals

portfolio-optimization-probability-analysis QuantitativeFinance

RAG-PDF-Chatbot AI-Tutor

Pinned Loading

  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 674 125

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

    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 73 27

  3. 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# 23 3

  4. RiskOptima RiskOptima Public

    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 5

  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 78 20

  6. atom-table-monitor atom-table-monitor Public

    ⚛️ Monitoring tool for global atom table and RegisterWindowMessage identifiers

    Pascal 71 13