Laurel Asimiea

Python Developer and Analytics Solutions Engineer with 6+ years of hands-on experience building production-grade Python SaaS applications, data pipelines, and analytics solutions for complex engineering and energy systems. PhD-qualified in Sustainable Energy Technologies, and proficient in modular, object-oriented Python development, REST API integration, pipeline orchestration, and cloud deployment on AWS. Consistently delivers clean, well-documented, and tested code with a strong focus on engineering best practice, CI/CD, and reusability.

Experienced in cross-functional collaboration and SaaS delivery, mentoring engineers, and translating product requirements into robust, deployed solutions.

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.

PhD in Sustainable Energy Technologies – University of Hertfordshire (2016 – 2022)

MSc in Offshore & Ocean Technology with Subsea Engineering – Cranfield University (2014 – 2015)

BEng (Hons) in Mechanical Engineering – University of Surrey (2011 – 2014)