About Me
I am a final-year Computer Science student at the University of Hull with a strong foundation in machine learning, 3D computer vision, and Psychology/Nuroscience. I am the Co-founder of MyndMap, an ADHD-focused productivity app, where I lead AI research—exploring computer vision and machine learning approaches to improve the daily lives of people with ADHD.
My research interests include 3D computer vision, geometric deep learning, and computer graphics. My undergraduate dissertation, supervised by Dr. Qingde Li, focused on Kolmogorov-Arnold Networks (KANs) for 3D object representation, emphasizing efficiency and interpretability in point cloud classification.
Previously, I worked as a Machine Learning Demonstrator at the University of Hull, where I supported students in mastering core ML concepts through hands-on coding labs and tutorials.
Research Interests
- 3D Computer Vision
- Deep Learning
- Neuroscience
- Computational Psychology
Work Experience
Co-founder & Research Lead
MyndMap | May 2025 - Present
Leading AI research and co-founding the ADHD-focused productivity application.
- Joined MyndMap as Co-founder with a mission to develop an AI-powered productivity app for individuals with ADHD.
- Spearheading AI research and development, focusing on computer vision and machine learning applications to enhance user focus and task management.
- Defining the technical roadmap and architecture for AI-driven features.
- Leading the exploration and implementation of novel algorithms for behavior pattern recognition and attention monitoring.
- Collaborating on product design and user experience to ensure features effectively address the needs of the target audience.
Machine Learning Demonstrator
University of Hull | September 2024 - Present
Assisted students in understanding ML fundamentals through hands-on coding sessions
- Delivered interactive Machine Learning workshops, assisting students with Python, programming, and ML fundamentals
- Provided 1:1 guidance to students, clarifying theoretical concepts, and troubleshooting coding challenges
- Responded to student queries, helping them understand core ML principles and overcome implementation issues
- Constructive feedback was offered to enhance student coding practices and conceptual understanding
Computer Vision Research Intern
MyndMap | February 2025 - April 2025
Conducting research for ADHD productivity app
- Conducted systematic literature review of academic papers on ADHD interventions, identifying promising methodologies for digital implementation
- Developing comparative analysis framework for evaluating computer vision approaches to attention monitoring, reducing prototype development timeline
- Analyzing existing ADHD productivity apps and identified potential technical approaches
- Investigating resource-efficient ML models for mobile deployment in behavioral pattern recognition
- Conducted wider market research and identified potential ways to grow
Projects
Kolmogorov-Arnold Networks for 3D Object Representation
Honours Stage Project | Summer 2024 - Present
Exploring KANs to model complex 3D topological features for geometric data representation.

- Conducted comprehensive literature review about KANs and PointNet paper as well as other related papers
- Acquired technical and theoretical understanding of the research topic
- Conducted experiments integrating KANs with 3D datasets using Python and PyTorch
- Designed a framework to improve feature extraction with learnable activation functions
- Performance benchmarked against traditional MLPs in terms of accuracy and scalability
Education
B.Sc Computer Science, 1st Class with Honours
University of Hull, Kingston Upon Hull, UK | Graduating July 2025
Technical Skills
Programming Languages
Frameworks & Tools
Hobbies & Interests
Basketball
Passionate about basketball, both playing and following professional leagues. The sport has taught me teamwork, strategic thinking, and the importance of continuous practice - skills that translate well into my technical work and research approach.
Game Development
Enjoy creating interactive experiences and experimenting with game mechanics. This hobby combines my technical programming skills with creative problem-solving, allowing me to explore different aspects of computer graphics and user experience design.
News
- [May 2025] Joined MyndMap as Co-founder and took on the role of Research Lead.
- [Feb 2025] Started Computer Vision Research Internship at MyndMap.
- [Sep 2024] Began role as Machine Learning Demonstrator at University of Hull.
- [Summer 2024] Started Honours Stage Project on Kolmogorov-Arnold Networks for 3D Object Representation.