United Kingdom
- Led and managed 3 mathematics content creators, establishing project milestones, delegating workflows, and directly auditing team contributions to maintain quality control standards. - Designed and programmed the most complex sections of the course, coding advanced, multi-step questions with accompanying walkthroughs to cover the full GCSE syllabus across major UK exam boards. - Streamlined the production workflow using AI to accelerate question generation, designing specific prompts for different scenarios like template creation and modification. - Led the team to deploy ~2000 algorithmically variable questions, while programming adaptive, step-by-step walkthroughs that dynamically update with each unique variation. - Directed the quality assurance pipeline, reviewing and refining the team's work to ensure high standards before final deployment approval from senior management.
Final MSc Computer Science capstone project at University College London (UCL). - Developed MotionInput for Chemistry, an AI-integrated, touchless learning tool created in collaboration with UCL, IBM, Intel, and Microsoft to improve accessibility in STEM education. - Designed and implemented end-to-end inference pipelines integrating real-time hand-tracking with a locally deployed LLM, and packaged the system as a standalone executable suitable for real-world deployment and publishing. - Focus on performance optimisation and translating machine-learning models into reliable, deployable software.
Worked as a Battery Modelling and Manufacturing Cost Estimation intern: - Conducted life cycle analysis of lithium-ion cells, using Excel and Python to visualise key performance metrics, assess cell rejuvenation after multiple cycles, whilst ensuring clear communication of insights through data visualisation techniques. - Performed cost estimations for pouch cells using CellEst, benchmarking predictions against market rates and exploring the economic impact of various cell configurations. - Utilised BatPac for cost estimation of pouch and prismatic cells with NMC333 chemistry, scaling predictions to EV battery packs and validating results against Tesla Model 3 LR 2024 pack specifications. - Analysed recycling methods with Everbatt, focusing on the commercially available LG cylindrical cell, and generated comparative visualisations using Python to evaluate the sustainability and economics of different recycling processes.
- Engaged with prospective students through the Unibuddy platform, answering questions and sharing personal experiences to provide insights into university life. - Represented the university by offering information about both academic and social aspects of the student experience.
- Gained insight into the financial sector through interactive case studies and presentations led by Goldman Sachs professionals. - Collaborated with peers in group activities, developing problem-solving and analytical thinking skills. - Gained a deeper understanding of the operations and strategic approaches across various departments within the firm.