Kannan Sekar Annu Radha
Physics & Computer Science Student at King's College London
Motivated interdisciplinary researcher with a strong foundation in physics and computer science. My academic and professional focus lies in developing intelligent systems using machine learning, probabilistic reasoning, and computational logic. I aim to contribute to impactful, explainable AI applications—especially in healthcare and edge computing.
Education
BSc Physics
King's College London
QS World University Ranking: #40
2024 – 2027 (Predicted First-Class Honours)
Recipient of the Alessandro de Vita Computational Physics Prize 2024-25. Relevant Modules: Mathematics & Computation, Classical Physics, Astrophysics, Modern Physics.
MEng Computer Science
University College London
QS World University Ranking: #9
2021 – 2023
Gained robust training in theoretical computer science and software engineering. Key Modules: Theory of Computation, Algorithms, OOP, Discrete Maths.
A Levels & GCSEs
Royal Grammar School, Newcastle
UK Independent School Ranking: #56
2012 – 2019
A* in Maths, Further Maths, & Physics. 7 A*s & 4 As at GCSE.
Experience
Summer Researcher
Dept. of Physics, King's College London
Starting Jun 2025
- Working on machine-learning-driven analysis of carbon nanoclusters.
- Applying physics-informed neural networks and dimensionality reduction.
iOS Developer (Freelance)
Kannan Industrials
Feb 2021 – Present
- Designed and deployed several iOS apps (iMinuteDOEShelp, iPong, DabCounter).
- Implemented real-time sensor data processing and CoreML integration.
Data Science Intern
NHS Digital, Leeds
Nov 2019
- Built an NLP pipeline (LSTM, Word2Vec) to predict ICD-9 codes.
- Used t-SNE for model visualization and clinical informatics exploration.
Research Intern
Kennedy Institute of Rheumatology, Oxford
Nov 2019
- Trained CNNs for image classification (MNIST, CIFAR) with TensorFlow.
- Developed an LSTM trading bot for time-series prediction.
Skills
Languages
Python, C, C++, Java, Swift, Objective-C, Haskell
Frameworks & ML
TensorFlow, Scikit-learn, Flask, Word2Vec, LSTM, CoreML
Platforms
iOS, Arduino, macOS, Linux, Windows
Select Projects
AR Lens
Snapchat AR Lens with 2.5M+ views and 100K+ downloads.
iCrypto
Market forecasting app using Bayesian deep learning.
TetrisAI
Reinforcement learning agent to master Tetris gameplay.
iPong
ML-powered pong game for Apple Watch using CoreML & Swift.
GPComm
Full-stack patient-doctor communication application.
YoteCoin
Smart contract token built on the Ethereum blockchain.
Certificates
Machine Learning
Stanford / Coursera
ID: WZPCZKU8PJA9
Deep Learning
DeepLearning.AI
ID: BDYCCTSVUHD3
CS50x
Harvard University
ID: 6e593e86fca2494b8b1c9af455a8d29d