About Me

I am a data scientist with a strong foundation in software development, based in central London. As a software developer I learnt web development, where I worked with technologies such as C#, ASP.Net, SQL Server, Entity Framework, and JavaScript. Wanting to push myself further, I pursued a Master’s degree in Artificial Intelligence, gaining expertise in Python, PyTorch, TensorFlow, and key AI domains including Large Language Models (LLMs), Computer Vision, and Reinforcement Learning.

To deepen my applied experience, I completed the Cambridge University Data Science Career Accelerator Course, where I honed my ability to translate technical skills into real-world impact. As part of this program, I contributed to a Bank of England–sponsored project, applying LLMs and Prompt Engineering to practical challenges.

I am now looking for opportunities where I can bring together my background in software engineering and advanced data science to solve complex problems. I am open to roles in central London, as well as hybrid or remote opportunities elsewhere.

Coding Style

As I learned to code, I realized that while there are countless ways to write a program, some approaches are far more effective than others. Inspired by classics like Clean Code and Code Complete, I came to appreciate that writing clean, efficient, and well-structured code is not just a matter of style, but a core part of good software development practice.

Technical Skills Summary

Coding; Python, Pytorch, C#, SQL, ASP.Net, Javascript

AI: NLP/LLMs, Prompt Engineering, Time Series, Computer Vision, Reinforcement Learning, Statistics.​​​​