I am currently completing my residency as a Machine Learning Engineer at the Machine Learning Institute, where I focus on training, developing, and fine-tuning multimodal models to solve complex, real-world problems. My research interests lie in applying advanced AI techniques to aerospace challenges, including autonomous flight, adaptive control systems, and mission-critical software.
I bring a strong background in computational engineering, with expertise in software development, system modelling, and control design. I have experience working in various tech stacks including C++, Java, Python (pytorch and tensorflow), Matlab and React with deployment, CI/CD, VCS and server setup/management. I hold an MEng in Aerospace Engineering from Queen Mary University of London, where I graduated with a First Class Honours.
This site is continuously updated. In the meantime, feel free to explore my latest deployed applications and technical reports further down the page. Many of my AI/ML projects are available on GitHub, although not in their final version. This website itself is a project I’ve developed using React, and I’ll be sharing more updates and experiments soon — stay tuned!
Due to computational constraints, many of my projects are too resource-intensive to host continuously on a CPU-based server. However, I occasionally deploy smaller demos here when feasible — you’ll find links to those below. Feedback and recommendations are always welcome.
For recruitment opportunities, professional inquiries or interests in collaborating, feel free to connect with me on LinkedIn.
Certificates
Work samples and reports can be viewed from the below section.
