Kannan Sekar Annu Radha
Physics Student at King's College London
Motivated interdisciplinary researcher with a strong foundation in physics and computer science. Developing intelligent systems using machine learning, probabilistic reasoning, and computational logic.
Education
2024 - 2027
2024 - 2027
BSc Physics
King's College London
Recipient of the Alessandro de Vita Computational Physics Prize 2024–25. Passed first year.
2021 - 2023
2021 - 2023
MEng Computer Science
University College London
Gained robust training in theoretical computer science and software engineering.
2012 - 2020
2012 - 2020
A Levels: A*A*A*
Royal Grammar School, Newcastle
Achieved top grades in A Level Mathematics (A*), Further Mathematics (A*), and Physics (A*). 7A*S an 4As at GCSE. Developed strong analytical and problem-solving skills with a focus on mathematical reasoning and scientific methodology.
Experience
2025 - Present
2025 - Present
King's Undergraduate Research Fellowship
King's College London
Worked under Dr. Carla de Tomas on machine-learning-driven analysis of carbon nanoclusters. Applied physics-informed neural networks and dimensionality reduction to understand emergent structures.
2021 - Present
2021 - Present
CEO iOS Developer
Kannan Industrials
Designed and deployed several iOS applications including 1minuteDOEShelp, iPong, and DabCounter. Implemented real-time sensor data processing, CoreML integration, and user-centric design for accessibility.
2019 - 2019
2019 - 2019
Data Science Intern
NHS Digital
Built an NLP pipeline using LSTM and Word2Vec to predict ICD-9 diagnostic codes from clinical records. Implemented t-SNE for dimensionality reduction and model visualization. Contributed to exploratory work on clinical informatics.
2019 - 2019
2019 - 2019
Research Intern
Kennedy Institute of Rheumatology, Oxford
Used TensorFlow to design and train convolutional models for image classification (MNIST). Built a trading bot using LSTM for time-series prediction to simulate market decision strategies. Shadowed Informatics Manager Mr Vinod Kumar.
Featured Projects
A showcase of innovative applications spanning AI/ML, mobile development, healthcare technology, and emerging platforms
TetrisAI - Reinforcement Learning Agent
FeaturedAdvanced AI agent using Deep Q-Networks to master Tetris gameplay through reinforcement learning and neural network optimization.
iPong - Apple Watch ML Game
PublishedInnovative Apple Watch game utilizing CoreML for real-time gesture recognition and motion-based gameplay mechanics.
1minuteDOEShelp - Accessibility App
PublishediOS application designed to assist users with accessibility needs through intelligent voice navigation and intuitive interface design.
DabCounter - Motion Sensing Watch App
PublishedApple Watch application that uses advanced motion sensing to track and count specific gestures with high precision algorithms.
YoteCoin - Ethereum Smart Contract
LiveComprehensive blockchain project featuring custom smart contracts, token economics, and decentralized application infrastructure.
AR Lens - Snapchat Viral Filter
ViralViral augmented reality lens for Snapchat that achieved 2.5 million views through innovative AR effects and user engagement.
iCrypto - Bayesian Deep Learning
ResearchSophisticated cryptocurrency prediction system using Bayesian deep learning for uncertainty quantification in volatile markets.
GPComm - Healthcare Communication
DevelopmentHealthcare communication platform designed to streamline patient-practitioner interactions with intelligent routing and scheduling.
NLP Pipeline for ICD-9 Code Prediction
DevelopmentNatural Language Processing pipeline designed to predict ICD-9 codes from clinical text.
Explore More Projects
Discover additional projects, experiments, and contributions on GitHub
View GitHub ProfileCertifications & Awards
Professional certifications and academic honors recognizing expertise in computer science, machine learning, and computational physics
CS50x: Introduction to Computer Science
Harvard University
Comprehensive introduction to computer science and programming, covering algorithms, data structures, web development, and software engineering principles.
Skills Covered
Machine Learning Specialization
Stanford University (Coursera)
Advanced machine learning specialization covering supervised learning, unsupervised learning, and recommender systems with hands-on implementation.
Skills Covered
Deep Learning Specialization
DeepLearning.AI
Comprehensive deep learning program covering neural networks, CNN, RNN, and advanced architectures for real-world applications.
Skills Covered
Alessandro de Vita Computational Physics Prize
King's College London
Academic excellence award recognizing outstanding performance in computational physics and research methodology at King's College London.
Skills Covered
Professional Development
Committed to continuous learning and staying current with emerging technologies and methodologies
Skills & Expertise
A comprehensive overview of technical competencies across physics, computer science, and emerging technologies