As a machine learning engineer and software developer, I leverage my strong academic foundation and hands-on experience to deliver innovative AI systems and robust software applications.
With a Masters in Artificial Intelligence from the prestigious University of Edinburgh, I have a proven track record of academic excellence. My dissertation on 2D implicit neural representations demonstrated superior performance over traditional networks. Through coursework I gained proficiency in cutting-edge topics like computer vision, natural language processing, reinforcement learning, and more.
I am skilled at rapidly prototyping and deploying scalable deep learning models using Python and frameworks like PyTorch, TensorFlow, and OpenCV. I have experience integrating computer vision and NLP algorithms into desktop, web, and mobile applications.
My software engineering abilities enable me to write clean, maintainable code across codebases. I have worked extensively with languages like Python, C++, and JavaScript, along with tools like Git, GCP, and Visual Studio. I stay up-to-date on the latest advancements in AI and software best practices.
I am eager to leverage my analytical abilities and engineering skills to solve complex problems for clients. My TB detection model using chest x-rays increased accuracy by 97.6%, reducing diagnosis time from weeks to hours. My capsule network implementation achieved 10% higher accuracy over standard neural nets. I am comfortable explaining complex ML concepts clearly to non-technical stakeholders.
With proven expertise in AI research, machine learning, software engineering, and delivering high-impact products on budget, I am excited to collaborate with you to bring innovative solutions tailored to your business goals. Let's unlock the possibilities of AI and software to create true value for your users.