Hi! 👋

I'm Alexander Pugeat

Physics & Mechanical Engineering Graduate

About Me

Hi! You've probably seen my CV already. This is just a little more about me. I'm an eager STEM graduate from a globally-diverse background, having studied at international hubs like Beijing, Hong Kong and London. Upon completing my degrees, I had recalled a thorough enjoyment out of completing a variety of data analysis, coding and machine learning modules. I found myself self-learning a number of data science, data engineering & machine learning modules from both UCL's MSc Data Science and ML course as well as accredited third-party teaching programs. I know that this is what I want to do for a career and am eager for the opportunity to show what I can do, as well as learn and grow in this field. This website offers a bit more insight into who I am - I hope you will find that I am a good fit for your company!

Python SQL LlamaIndex (RAG) Docker AWS (S3/EC2) PostgreSQL PyTorch TensorFlow Pandas Git

Projects

Supernova Neutrino Event Analysis (Deep Learning)

Architected an end-to-end DL pipeline (TensorFlow) to detect neutrino events in high-noise environments. Engineered a custom ResNet-18 for energy regression and U-Net for denoising, reducing Mean Absolute Error (MAE) by 45%.

PythonTensorFlowComputer VisionAutoencoders

RAG-Based AI Chatbot (Discord)

Architected an asynchronous RAG Discord Charbot using LlamaIndex, OpenAI and Discord.py, with persistent vector storage, enabling semantic retrieval over custom documents such as textbooks.

LlamaIndexOpenAI APIVector DBETL

Wilfley Table Design & Optimisation for Microplastic Separation

Pioneered a novel application of shaking tables (a mining technology) for shoreline microplastics removal. Used Plackett-Burmann screening algorithms, ANOVA and Central-Composite Design of experiments to optimise microplastic recovery to 88%.

PythonMinitabMultivariate Analysis

Fluorescence Decay Analysis for Time-Resolved Spectroscopy

Developed a novel tail-fitting algorithm for Time-Correlated Single Photon Counting data. Implemented bi-exponential fitting algorithms achieving 98.0% accuracy in lifetime determination for biological systems.

PythonStatistical ModellingAlgorithm Design

Experience

Software Engineering Intern

Edue Limited

Sep 2023 - Feb 2024

Architected an asynchronous RAG Discord Chatbot using LlamaIndex and OpenAI with persistent vector storage.
Engineered a data ingestion pipeline aggregating 400+ institutional datasets to evaluate market fit.
Optimised community retention methods using automated Discord systems and semantic guardrails.

Material Science Research Intern

Warneken Consulting

Jun 2023 - Aug 2023

Engineered a Python ETL script to ingest and normalise properties for 500+ materials.
Developed a decision-support module using Pandas/Seaborn to visualise high-dimensional data.
Architected a constraint-satisfaction algorithm reducing search space by 95%.

Test Engineering Intern

Sinovision-Tech

Jun 2022 - Aug 2022

Engineered systematic diagnostic workflows for scanner circuitry, utilising signal analysis pipelines.
Achieved 95% diagnostic accuracy across 200+ assemblies by correlating failure patterns.
Deployed Statistical Process Control (SPC) to monitor performance, reducing manual logging by 35%.

Education

MSc Mechanical Engineering

University College London

2023 - 2025

Specialised in computational engineering and robotics. Mastered industry-standard simulation tools and focused on 'Advanced Computation in Engineering' and data-driven control systems. Further developed modelling and analytical skills.

Advanced Computation in EngineeringControl and RoboticsProject Management

BSc Physics (2:1)

University College London

2020 - 2023

Focus on rigorous mathematical modeling and computational physics. Excelled in 'Practical Machine Learning for Physicists' and 'Data Analysis & Statistics', gaining early exposure to TensorFlow and stochastic modeling.

Practical Machine Learning for PhysicistsMathematical Methods I-IIIData Analysis & StatisticsPractical Physics and Computing

Bachelor of Engineering (Exchange/Transfer)

Hong Kong University of Science and Technology

2019 - 2020

Admissions Scholarship recipient. Established engineering fundamentals in C++, Java, Multivariable Calculus and Fluid Dynamics before transferring to UCL.

Multivariable CalculusFluid DynamicsComputing with JavaDifferential EquationsElectro-Robot Design

Service

I have balanced my academic career with service and sales roles that required high-volume management, customer-facing communication, and team reliability.