Hi, I’m Gemma

DevOps Engineer at Lloyds Banking Group, Masters of Biological Sciences graduate and Code First Girls alumna. I streamline cloud platforms and tinker with DIY builds when I’m away from the keyboard.

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Gemma Baldock avatar

Curriculum Vitae

Experience

  1. DevOps Engineer · Lloyds Banking Group

    Supporting 200+ developers across the Consumer Servicing and Engagement platform by managing Jenkins pipelines, Nexus storage, and access to tooling on on-prem infrastructure. Working with the Payments team to deliver observability across GCP environments using Dynatrace and assist with ongoing cloud platform migrations. Also supported tech career workshops for underrepresented student groups.

  2. Java Developer · NatWest Markets

    Contributed to the implementation of internal systems to support compliance with the FRTB (Fundamental Review of the Trading Book) framework, working within Market Risk on Java-based microservices in the service tier.

  3. Trainee Java Developer · Wiley Edge Women in Tech

    Completed full-stack Java and Spring Boot training, developing a metro fare-calculation app as part of a team project. Took part in soft skills workshops, mock interviews, and Women in Tech events to prepare for roles in global financial services.

  4. Account Manager · Canon EMEA

    Managed client relationships and sales of wide-format printing solutions, using SAP CRM to drive revenue, analyse usage trends, and provide prompt, cross-regional support to improve customer satisfaction.

Education

Masters of Biological Sciences (MBiolSci) · University of Liverpool

First‑class degree with focuses on cancer biology, pharmacology, statistics and coding (R and Python).

  • Dissertation 1 – This project explored the regulation of hypoxia-inducible factors (HIF-1α and HIF-2α) under different oxygen conditions by analysing their protein–protein interaction (PPI) networks. Using bioinformatic tools, I visualised and evaluated binding partner networks to identify key hub and bottleneck proteins influenced by oxygen tension.
  • Dissertation 2 – This project explored the application of artificial intelligence (AI) in histopathology to automate the segmentation, detection, and counting of cancer cells in haematoxylin and eosin (H&E) stained uveal melanoma samples. Using U-Net and convolutional regression networks, the AI models achieved high accuracy and demonstrated strong potential to support histopathologists and reduce diagnostic delays.

Skills & Tools

Certifications

Google Cloud Associate Cloud Engineer badge GCP: Associate Cloud Engineer (2024)
Google Cloud Professional Cloud Architect badge GCP: Professional Cloud Architect (2024)
CKA badge pending CKA: Kubernetes Administrator (in progress)

Extras

Challenge 24 Fundraiser – Pancreatic Cancer UK

Completed a 24-mile weekend challenge as part of a previous fundraising campaign to raise awareness and funds for Pancreatic Cancer UK, reflecting the 24 lives lost daily to the disease in the UK.