Lewis Dunne

Software engineer with a background in cognitive neuroscience research. I taught myself Python during my PhD and enjoyed it enough to make it my profession. I specialise in backend development and data analysis, and care about writing clean, readable, and well-tested code.

Technical Skills Summary

Languages: Python, Java, JavaScript/TypeScript, SQL
Technologies: FastAPI, PostgreSQL, Scikit-Learn, Docker, Kubernetes, Git, Linux
Specialisations: Back-end web development, data analysis & visualisation

Experience

Software Engineer, Reserve & Charge (2023 - present)

Reserve & Charge is a smart public EV charging station reservation system. Our APIs connect with charge point operators and mobility service providers to offer advance reservations to EV drivers.

• Developed and maintained distributed microservices in Python and Java, including APIs for reservations, payments, and internal administrative needs
• Managed containerised deployments using Docker, Kubernetes, and GitLab CI/CD
• Designed and optimised PostgreSQL schemas and queries for performance and reliability
• Worked alongside our lead developer on architecture decisions, technical planning, and system design
• Developed our automated testing procedures, covering unit, integration, and end-to-end tests
• Added new features to and improved the performance of our Angular dashboard application
• Implemented and managed our OAuth 2.0/OIDC identity service using Keycloak
• Collaborated on technical problems and reviewed merge requests across the team

Software Developer/Data Scientist, Accelogress (2020-2021)

Client project: Via Verde

• Analysed approximately 120 million toll and parking transactions to understand travel behaviour across the city of Porto, Portugal
• Carried out extensive data cleaning and visualisation
• Conducted clustering analyses using Spark and Scikit-Learn
• Implemented a data processing pipeline using Apache Airflow
• Delivered a final report on the analyses to upper management

Client project: Oxford Quantum Circuits (OQC)

• Supported development of their Quantum Computing as a Service (QCaaS) cloud-based platform
• Developed a REST API using Flask with websockets for real-time job updates
• Integrated a message queue system to handle asynchronous task processing and scheduling
• Built a Python SDK for users to submit jobs
• Containerised components using Docker and Kubernetes for deployment

Research Assistant, University of Surrey (2014-2020)

• Carried out neurostimulation research to investigate its use for post-stroke rehabilitation
• Collected mobile EEG data to study cognitive processing during physical activity
• Developed & carried out EEG research into belief bias in logical reasoning
• Developed data preprocessing and analysis pipelines for electrophysiological data using Python
• Collected, processed, & analysed fMRI data for a National Trust study

Teaching Assistant, University of Surrey (2016, 2019-2020)

• Demonstrated & taught the use of physiological methods for psychological research
• Assisted students in understanding how to analyse data

Education

PhD Psychology & Cognitive Neuroscience, University of Surrey (2016-2022)

Thesis: The influence of visual attention on memory encoding & recognition

• Used a combination of fMRI, eye tracking, and behavioural techniques to study how modes of attention during learning affect recognition memory
• Self-taught Python for data processing, statistical analysis, and visualisation
• Applied supervised ML to predict behavioural outcomes from brain activity
• Programmed & applied computational models of recognition memory to empirical data
• Programmed experimental tasks to measure cognition (recognition memory, visual attention, working memory)

MSc Research Methods in Psychology, University of Surrey (2013-2014)

Thesis: Environmental context effects on recognition memory and its EEG correlates

BSc (Hons) Psychology, De Montfort University (2009-2012)

Thesis: Mathematical training & susceptibility to cognitive biases

Publications

Dunne & Opitz (2020) Attention control processes that prioritise task execution may come at the expense of incidental memory encoding

Minarik et al. (2015) Effects of Anodal Transcranial Direct Current Stimulation on Visually Guided Learning of Grip Force Control

Hobbies & Interests

Guitar, strength training, Poker, coding