Thomas Bale

Experience

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Demonstrator and Graduate Teacher, University of Bristol

Aug 2025 –

  • Delivering Lectures and Workshop Exercises.
  • Mentoring a small team of students through their year-long project (Software Engineering Project).
  • Helping students in workshops (Computer Systems A, Programming Languages and Computation).

UK HPC Student Team, UKSCC

May 2025 – Jun 2025

  • Represented the UK at ISC SCC.
  • Optimised OpenMX and LLMs (llama) on a 208 core, 8xH100 cluster.
  • Experience with load balancing, networking, OpenMP, MPI, and CUDA programming.
  • Worked with SLURM, LAPACK, BLAS, ScaLAPACK, FFTW, ELPA, OpenBLAS, Intel MKL, and custom profiling.
  • Explored LoRA, QORA, DORA, transformer engine, and FP8, flash attention 3 for llama 8B.

Machine Learning Research Assistant, University of Bristol

Feb 2025 – Aug 2025

  • Developed a scalable ML workflow for generating photorealistic, emotional faces for psychological research.

Co-Founder & Operator, Veloworks Components

Sep 2024 –

  • Co-founded and operate a business producing 3D-printed performance cycling components.
  • Manage operations encompassing sponsorship, marketing, technical stages, and financial activities.

Machine Learning Software Engineer Intern, DigitalU3

Sep 2024 – Mar 2025

  • Engineered a machine learning-based system with a strong focus on efficiency and scalability.
  • Collaborated in an AGILE team, contributing in sprints, code reviews, and iterative delivery.
  • Developed a scalable web application with integrated backend and structured database.

Education

University of Bristol, BSc in Computer Science

Sep 2023 – Current

  • 78.33% avg; First Class
  • Treasurer and Planning & Control Team Lead in Formula Student AI.
  • Founder, President, Competitions Lead UoB Quantum Computing Society.

Colchester Royal Grammar School, A-Levels

Sep 2021 – Jul 2023

  • A*A*AA - Computer Science (ranked 1st in cohort; 100% NEA), Maths, Further maths, Physics.

Technical Projects

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Achievements and Interests

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Sports:

Competitive Swimmer, Ironman Switzerland, Climbing

Formula 1:

Formula Student AI, Formula 1 Projects

Competitions and Other:

High Performance Computing, Quantum Computing, Blind Solve Rubik's Cube

Research Interests

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Theoretical: AI from computational foundations, Superintelligent AI, Trustworthy AI, Non-fallible AI, AI hallucinations.
Empirical: Vision LLMs, Memory for LLMs, Multimodal LLMs, GPT, Transformers, NLP, AI hallucinations.

Technologies and Skills

Languages: Python, Go, Java, C, C#, Haskell, HTML/CSS, JavaScript.
Frameworks/Tools: SQL, API/REST, Git/Github, React Native, PyTorch, TensorFlow, Qiskit, AWS, Cursor.
Skills: AGILE & Test-Driven Development, Quantum Programming, Machine Learning (ML), Artificial Intelligence (AI), High performance computing (HPC), CAD, Generative AI, Computer Vision, LLM, A/B Testing, NLP.