Management

I have extensive experience in managing technology teams as well as product teams at fast-moving companies. I have managed diverse teams on-site, as well as hybrid and fully remote. I believe "hybrid" works best for most technology firms. Face-to-face time is essential to brainstorm and build strong interpersonal relationships.

Skills and Technologies

An overview of my experiences as well as technologies that I have used intensively throughout my career.

C++

1998..03..11..14..17..20..23

Techniques and concepts I am most familiar with:

• C++ Application and Web Application Development using:
• Qt "cute" https://www.qt.io
• Wt "witty" https://www.webtoolkit.eu/wt
• TDD (Test Driven Development) using the Google Testing framework;
• Algorithms and Data Structures;
• Standard Template Library;
• Concurrency and Multithreading;
• Performance Profiling and Optimisation;
• System Programming;
• Networking - REST API and Websockets;
• Concepts and Ranges;
• Boost Library.

Financial Markets

7 years of working in market surveillance gave me access to a wide variety of market participants (exchanges, brokers, buyside firms, banks), asset classes, and trading types.

• Market data;
• Market microstructure;
• Asset classes.

Computer Graphics

Techniques used:

• Linear Algebra;
• CUDA;
• OpenGL;
• Digital Twins (VR);
• Particle Systems;
• Graphtals & L-Systems;
• Solid object representation and collision detection using k-d trees;
• Virtual Cameras;
• Animation.

Python

I extensively used libraries such as FastAPI, NumPy, pandas, matplotlib, SciPy, scikit-learn, and PyTorch.

Artificial Intelligence

From a hands-on coding perspective, my knowledge is focused on reinforcement learning.

Networks and Internet Protocols

I am experienced with building REST APIs and microservices for distributed architectures.

This website is running on an Ubuntu Linux server micro-instance on AWS, using:

• Certificate Authority: Let's Encrypt
• Load balancer: HAProxy
• Web server: Apache

Maths

I am confident in:

• Probability Theory and Statistics;
• Time Series Analysis;
• Number Theory;
• Optimisation;
• Linear Algebra;
• Time Value of Money.