I'm a software engineer and physics student at King's College London. I lead healthcare technology projects and develop independent iOS apps. My research background spans carbon nanoclusters, GPU acceleration, and edge AI.
Selected projects
Experience
Software engineering, healthcare technology, and computational research.
PCN Tech Lead
NHS England / Galleries Medical Practice
Nov 2025 – Present
Developing healthcare websites, chatbots, and iOS products, including Global Travel Vaccinations. Responsible for interfaces, backend services, deployment, and reliability.
Research Fellow (KURF)
King's College London
May – Nov 2025
Applied physics-informed machine learning to carbon nanoclusters. Ran LAMMPS simulations on HPC clusters and analysed 5,000+ structures using OVITO, TensorFlow, and CUDA, in collaboration with Penn State researchers.
iOS Developer & Founder
Kannan Industrials
Feb 2021 – Present
Developed 1minuteDOEShelp, iPong, DabCounter, and OK Gym. Technical work includes Core ML and Apple Watch motion classification. Other projects include Face Rift AR, IceFiSh Browser, and GrokTube.
Research Intern
Kennedy Institute of Rheumatology, Oxford
Nov 2019
Conducted CNN experiments for biomedical imaging, alongside reinforcement learning and GPU training.
Data Science Intern
NHS Digital
Nov – Dec 2019
Developed LSTM and word2vec models for clinical-note classification. Improved ICD-9 coding accuracy from 42% to 71%, with anomaly detection for rare diagnoses.
Independent AR Lens Developer
Snap
Sep 2018 – Aug 2019
Created AR lenses reaching 2.5M+ views and 150K downloads, optimised for mobile performance and memory use.
Education & training
A background in physics and computer science, supported by continued professional development.
BSc Physics
King's College London
2024 – 2027
Alessandro de Vita Computational Physics Prize, 2024–25. King’s Research Award, November 2025.
MEng Computer Science
University College London
2021 – 2023
Studied on the MEng Computer Science programme.
A levels
Royal Grammar School, Newcastle
2017 – 2020
A*, A*, A* in Mathematics, Further Mathematics, and Physics.
iOS and interface design
Meta
Sep – Nov 2025
Certificates in SwiftUI, iOS development, UX/UI principles, Swift fundamentals, and version control.
Machine learning and deep learning
Stanford University / DeepLearning.AI
Mar 2021
Machine Learning from Stanford University and Deep Learning from DeepLearning.AI.
CS50 certification
Harvard University
Certificate of completion for CS50.
Technical skills
Languages, frameworks, and tools I use across research and product development.
- Languages
- Python · C/C++ · Swift · Java · Haskell · Bash
- AI / ML
- TensorFlow · PyTorch · Core ML · scikit-learn · Keras
- Systems
- GCP · Docker · Kubernetes · CUDA · HPC · CI/CD
- Research
- LAMMPS · OVITO · AIRSS · NumPy · pandas
- App development
- SwiftUI · UIKit · REST · GraphQL · Git
Contact
For opportunities in AI engineering, scientific computing, and software development, please get in touch by email.