Cloud Applications Engineer at Elysia Battery Intelligence (2025-04 – Present)
Battery intelligence company delivering AI-driven analytics for automotive, stationary power, and heavy industry
- Developed production-grade Python SaaS applications using OOP, modular design, delivering end-to-end automated cloud-hosted data solutions for predicting and monitoring safety critical performance for 50k+ vehicle EV fleet.
- Built and maintained REST API integrations connecting products and solutions to client-facing application endpoints as well as managed external library dependencies using CLI tooling and package managers with argpase and uv.
- Architected monolithic and microservices pipelines in Dagster with independently orchestrated processing steps deployed on AWS and Snowflake, maintaining clean separation of concerns and full unit-tested components.
- Engineered high-performance data processing algorithms using Polars, NumPy, and Numba over 3B+ rows, reducing storage costs by 30% and compute costs by 40% via format and query optimisation.
- Maintained dev-to-production alignment using cloned staging environments, routine drift monitoring, and CI/CD practices prior to all production deployments.
- Applied DBT data models for metric management and structured Snowflake storage querying to support dashboards and client-facing analytics.
- Participated in discovering new features, performed data audits and homologation, managed and translated customer dynamic requirements using JIRA.
Systems Engineer – Development & Analytics Solutions at Ceres Power Ltd (2021-05 – 2024-10)
Clean energy company developing solid oxide fuel cell, electrolyser, and flow battery technologies
- Designed modular, reusable Python and PySpark applications for anomaly detection, system modelling, and degradation forecasting, applying OOP principles, code documentation, and code review practices.
- Built and deployed data-driven analytics pipelines on Databricks, scoped to customer requirements and delivered as production-ready solutions.
- Mentored junior engineers on technical domain knowledge, analytics best practices, and code standards, improving team capability and code quality.
- Built interactive interactive reports and dashboards using Plotly and Power BI surfacing KPI tracking, anomaly flags, and degradation trends for operational and customer-facing use.
- Contributed to Agile delivery cycles, critical systems issue resolution, participating in feature discovery and requirements scoping with product stakeholders and customers.
Consultant at Alten Ltd (2021-05 – 2022-12)
Consultancy providing technical expertise across IT, aerospace, automotive, and energy sectors (contracted to Ceres Power Ltd)
- Developed and automated Python-based predictive maintenance and systems optimisation pipelines, improving diagnostics capability by 30%.
- Delivered tested, well-documented pipeline components with version control, contributing to an agile and scalable application of solutions in product operation.
- Acted as primary customer technical contact, translating product requirements into deployed Python analytics solutions for stationary and automotive energy applications.
Visiting Lecturer & Engineer at University of Bedfordshire (2017 – 2021)
- Delivered energy systems engineering curriculum in data-driven engineering and led an applied optimisation project with Eurocold Ltd developing thermal insulation models under the UK IMAGE project.
