AI / Data Science Engineer
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A highly motivated and hard-working AI and Data Science Engineer with a bachelor’s degree in computer science and hands-on experience in AI, DevOps, Cloud Security Architecture and Engineering.
I am an AI and Data Science Engineer with a First-Class Bachelor's degree in Computer Science, specializing in AI DevOps, Cloud Security, and Data Engineering. I've developed machine learning models and data pipelines at National Grid Electricity Distribution, researched and created a Deep Reinforcement Learning trading bot at the University of West London, and designed secure, scalable cloud architectures and CI/CD pipelines at Bdellion Cloud Services. I have strong skills in Python, cloud platforms (GCP, AWS), and AI tools, allowing me to optimize performance and tackle complex technical challenges effectively.
BSc (Hons) with First Class in Computer Science – University of West London. (Note: IET Accredited with Full IEng status)
Deep Reinforcement Learning (DRL) Trading Bot Assistant Development
Background – The project’s objective was to develop a Deep Reinforcement Learning (DRL) trading bot assistant using the FinRL framework to optimise stock holding times and enhance financial decision-making in stock trading. By leveraging advanced AI techniques, the goal was to improve trading efficiency and profitability. An ensemble method combining multiple DRL algorithms was utilised to boost performance.
