Incoming Computer Science Student and aspiring AI Researcher with a strong technical foundation in Python and deep learning mathematics. Expert in deconstructing complex systems, from building neural networks from scratch using NumPy to evaluating Large Language Model reasoning against cognitive benchmarks. A proven leader and mentor with experience managing multi-disciplinary teams and communicating technical concepts effectively to diverse audiences. Dedicated to leveraging 'first-principles' thinking to solve real-world problems in AI development, software engineering, and data analysis.

Abel K

Incoming Computer Science Student and aspiring AI Researcher with a strong technical foundation in Python and deep learning mathematics. Expert in deconstructing complex systems, from building neural networks from scratch using NumPy to evaluating Large Language Model reasoning against cognitive benchmarks. A proven leader and mentor with experience managing multi-disciplinary teams and communicating technical concepts effectively to diverse audiences. Dedicated to leveraging 'first-principles' thinking to solve real-world problems in AI development, software engineering, and data analysis.

Available to hire

Incoming Computer Science Student and aspiring AI Researcher with a strong technical foundation in Python and deep learning mathematics. Expert in deconstructing complex systems, from building neural networks from scratch using NumPy to evaluating Large Language Model reasoning against cognitive benchmarks. A proven leader and mentor with experience managing multi-disciplinary teams and communicating technical concepts effectively to diverse audiences. Dedicated to leveraging ‘first-principles’ thinking to solve real-world problems in AI development, software engineering, and data analysis.

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Experience Level

Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Russian
Beginner
Malayalam
Intermediate

Work Experience

Independent Researcher at Self-Employed
November 6, 2024 - May 21, 2026
• Frameworks: Evaluated frontier models using cognitive frameworks such as CoT, Bayesian and Deductive-Inductive. • Analysis of Limitations: Investigated specific LLM limitations in Theory of Mind and planning tasks. • Prompt Engineering: Reviewed the efficacy of few-shot prompting in improving generalisation performance. • Technical Insight: Analysed the "Stochastic Parrot" hypothesis to detect data contamination in coding benchmarks and the impact of counterfactual statements on model accuracy.
Independent Developer at Self-Employed
November 16, 2024 - April 9, 2025
• Mathematical Implementation: Built a multi-layer perceptron from scratch using only NumPy to consolidate my understanding of backpropagation and gradient descent in machine learning. • Optimization: Tuned hyperparameters and implemented L2 and dropout regularisation to improve generalisation. • Evaluation: Benchmarked my "from-scratch" neural network against other models to validate accuracy.
Team Lead at PA Consulting Raspberry Pi Competition
October 19, 2023 - May 27, 2024
• Hardware: Integrated a microphone, gain chip and ADC with a Raspberry Pi to create a digital stethoscope. • Deep Learning: Programmed the back-end audio polling and feature extraction pipeline for a custom convolutional neural network classifier model to detect cardiac irregularities in patients. • Leadership: Delegated CAD and business strategy while taking on the back-end software and electronics. • Outcome: Secured the PA Consulting Innovation Award and a £1,000 grant for technical excellence.

Education

A Level at Calday Grange Grammar School
September 5, 2023 - June 21, 2025
Chemistry, Further Mathematics (Algorithms, Mechanics, Statistics), Mathematics, Physics - A* | Extended Project Qualification (To What Extent Can LLMs be Used to Model and Understand Human Reasoning?) - A
GCSE at Calday Grange Grammar School
September 4, 2018 - July 6, 2023
Biology, Chemistry, Computer Science, Design and Technology, English Language (Speaking and Listening - Distinction), History, Mathematics, Physics, Russian - 9 (A* equivalent) | English Literature - 7 (A equivalent)

Qualifications

Machine Learning Specialization
April 1, 2024 - April 11, 2024
Issued by Stanford University via Coursera. Taught by Andrew Ng, et al. covering supervised machine learning (regression and classification), advanced learning algorithms and unsupervised learning (recommenders and reinforcement learning)
TW Hardwick Memorial Prize for Physics at GCE Advanced Level
January 7, 2026 - January 7, 2026
I achieved the highest score in A Level Physics at my college.
Innovation Award - PA Consulting Raspberry Pi Competition
October 19, 2023 - May 27, 2024
Awarded for our 3D-printed digital AI stethoscope designed to help diagnose patients with cardiac irregularities in rural regions where access to specialist cardiologist healthcare is limited.
The Prize for Computer Science at GCSE Level
January 10, 2024 - January 10, 2024
I achieved the highest score in GCSE Computer Science at my school.

Industry Experience

Computers & Electronics, Non-Profit Organization, Software & Internet, Healthcare