About Me
Passionate Physics student with a strong background in Computer Science. Experienced in developing machine learning models, natural language processing, and building innovative software applications. Adept at problem-solving and eager to contribute to cutting-edge projects in artificial intelligence and beyond.
Education
BSc Physics
King’s College London, London, United Kingdom
2024 – 2027 | 1st Class Predicted
Relevant Coursework: Mathematics & Computation for Physics, Classical Physics, Modern Physics, Physics Skills & Techniques, Astrophysics
MEng Computer Science
University College London, London, United Kingdom
2021 – 2023
Relevant Coursework: Principles of Programming (C and Haskell), Theory of Computation, Object-Oriented Programming (Java), Algorithms, Mathematics for Computer Science, Discrete Mathematics, Engineering Challenges (Arduino and Python)
A Levels
Royal Grammar School Newcastle, Newcastle, United Kingdom
A Levels: A* Mathematics, A* Further Mathematics, A* Physics
GCSE: 7 A*s and 4 As in subjects including Mathematics, Physics, Chemistry, Biology, Economics, English Literature, Spanish, Further Mathematics, English Language, History, Geography
Work Experience
Data Science Intern
NHS Digital, Leeds, United Kingdom
November 2019
- Developed a Natural Language Processing project in Python to predict ICD9 codes using Word2Vec, TSNE for dimensional reduction, and an LSTM recurrent neural network for prognostic predictions based on patient data.
Intern
Kennedy Institute of Rheumatology, Oxford, United Kingdom
November 2019
- Shadowed the Informatics Manager and gained experience in neural network fundamentals and TensorFlow implementation.
- Worked on image classification and digit classification using MNIST datasets.
- Developed an LSTM-based cryptocurrency trading bot.
Technical Skills
Python, C, C++, Java, Haskell, Swift
TensorFlow, Flask, Matplotlib, Scikit-learn, Word2Vec, TSNE, LSTM, Arduino, ESP32
Windows, macOS, Linux
Microsoft Office, Photoshop, Final Cut Pro
Skills & Interests
English (Native), Tamil (Native), Spanish (Full Professional Proficiency)
- CS50x Harvard University Certificate (ID: 6e593e86fca2494b8b1c9af455a8d29d)
- Machine Learning Stanford University Certificate (ID: WZPCZKU8PJA9)
- DeepLearning.AI Certificate (ID: BDYCCTSVUHD3)
Artificial Intelligence, Machine Learning, Cryptocurrency Trading, Augmented Reality, Game Development
Projects
NLP Project at NHS Digital
Developed a Natural Language Processing project using TensorFlow, Matplotlib, and Scikit-learn to predict patient diagnoses.
View on GitHub
Cryptocurrency Trading App
Created an automated cryptocurrency trading web application in Python using Flask and TensorFlow.
View on GitHub
AR Snapchat Lens
Created an Augmented Reality Snapchat Lens with 2.52 million views and 100K downloads.
View on GitHub