Hi, I'm Varnie 👋
Final-year Computer Science student with research experience in explainable reinforcement learning at Airbus and data science at Shell. Published at XAI 2025.
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About

I specialise in applying advanced AI to real-world applications. Published researcher in explainable reinforcement learning with experience in deep learning, computer vision, and data science.

Work Experience

A

Airbus

Aug 2024 - Sep 2025
AI Research Engineer
Developed ExploRe, a Python reinforcement learning library that integrates explainable RL (XRL) metrics into model-free training pipelines. Published 'Explain to Gain' at XAI 2025 (3rd World Conference), nominated for Best Paper Award at Explains 2025.
B

BagBudy

Jul 2024 - Sep 2024
Chief Technology Officer
Led the development and architecture of the BagBudy web application, a comprehensive luggage transfer service platform for Heathrow Airport. Built a seamless booking system that allows customers to schedule luggage pickup from their doorstep and delivery to the airport terminal. Implemented secure payment processing, real-time tracking, and customer management systems. Developed the complete user experience from order placement to airport meet-and-greet coordination, ensuring tamper-proof packing.
S

Shell

Sep 2023 - Jul 2024
E-mobility Data Scientist
Analysed EV charging session data from the enterprise data lake. Built certfetcher-15118 for ISO 15118 certificate handling. Performed customer segmentation and clustering using charge curve analysis.
D

Ditchcarbon

Jun 2023 - Sep 2023
Software Engineering Intern
Built an automated PDF data extraction tool using GPT-4, achieving 95% accuracy. Created REST APIs (Ruby on Rails) for B2B integrations. Developed a Carbon Emissions Calculator (React, TypeScript) for B2C applications.
U

University of Bath

Sep 2023 - May 2024
Chair, Cybersecurity Society
Organised events including CTFs, guest speakers, and workshops for society members. Developed and delivered weekly cybersecurity sessions to help members prepare for CTF challenges.
R

Rontec Retail

Aug 2022 - Jun 2023
Store Assistant
Worked as a store assistant at a petrol station, collaborating within a proficient team to deliver top-notch customer service. Managed store organization, handled cash transactions meticulously, and ensured inventory restocking. I actively assisted customers, offered product insights, and efficiently resolved any arising concerns.

Education

U

University of Bath

2022 - 2026
Computer Science and Artificial Intelligence BSc (Hons)
R

Reading School

2020 - 2022
A-Levels: Computer Science (A*), Mathematics (A*), Further Mathematics (A)
M

Maiden Erlegh School

2015 - 2020
GCSEs: 9 Grade 9s including Biology, Chemistry, ICT, Maths, Physics

Skills

Python
C
C++
Java
JavaScript
TypeScript
React
Go
Ruby on Rails
PyTorch
TensorFlow
RLlib
Stable-Baselines3
LangChain
LangGraph
Mastra
Pandas
PySpark
Postgres
Docker
Kubernetes
AWS
Google Cloud
Terraform
Git
Nmap
Metasploit
Burp Suite
Wireshark
CyberChef
Hydra
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Skimate - Ski Navigation App

Skimate - Ski Navigation App

Building a ski navigation app with real-time resort information, GPS-guided routing, performance tracking, and social connectivity. Target launch: 2025-26 ski season.

React Native
TypeScript
GPS
Mobile Development
Real-time Data
Social Features
Website

Fit4Gains - AI Fitness Platform

Building a fitness platform combining AI-driven workout planning, computer vision-based form correction, and nutrition guidance. Open source project revolutionizing health and fitness through AI and physiology.

AI
Computer Vision
React
TypeScript
Machine Learning
Nutrition Science
Website

Academorphic

AI-powered research assistant that streamlines the dissertation process by automating literature reviews. It leverages the Vercel AI SDK and Retrieval-Augmented Generation (RAG) to intelligently search the ArXiv database, summarizing key findings and answering specific research questions. The tool features a generative user interface that guides students through refining their topics and exports synthesized analysis directly into a professional PDF document.

Vercel AI SDK 3.0
React
ArXiv API
RAG
LLMs
Website
Source
Hackathons

I like building things

During my time in university, I attended 3+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

  • E

    EpiMindsHack 2025 - Multi-Agent LinkedIn to Website

    London, UK

    Built a multi-agent system that converts LinkedIn profiles into personalized websites using TypeScript and AWS Lambda. Implemented intelligent agents to extract, process, and transform professional data into beautiful web portfolios.
    Source
  • B

    Bath Hackathon 2024 - Academorphic

    Bath, UK

    Participated in Bath Hackathon 2024, developing innovative solutions and collaborating with fellow students on challenging technical problems.
    Source
  • B

    Bath Hackathon 2023 - 'Honest Emissions'

    Bath, UK

    A Chrome extension displays carbon emissions and tree impact for viewed products. It ranks similar products by low CO2 emissions, offers price, rating, and reviews. Empowers informed, eco-conscious shopping. 'Honest Emissions' received recognition as the winner of the 'Best Use of Ditch Carbon API' prize track.
    Source
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.

LinkedIn