Hey, I'm Nylah 👋
I'm a software engineer based in Sweden. For about five years I've been building the quiet backend systems everything else relies on: marketing automation, data pipelines, the parts that really need to be right. I care about clean code, honest docs, and leaving a team a little calmer than I found it. <3
When I'm not at my desk I'm usually training for a race, out on a run, or looking after my (growing) collection of houseplants. 🌱
Where I've worked
Global Freight Solutions / International Logistics Group
Aug 2025 - nowI provisioned the platform architecture for a greenfield, microservice-based pipeline unifying event-driven customer, user, and business data behind a system-wide canonical data model. I stood up the GCP infrastructure with Terraform and Docker, built connectors for SFTP CSV/JSON feeds and Shopify orders (canonicalising data before it reaches the fulfillment platform), and shipped a configuration service and internal UI that lets support staff manage connectors, view transaction history, and replay failed records. I also mentored and onboarded new engineers as the team grew from 3 to 5.
Dotdigital
Sep 2024 - Jul 2025I played a key part in the cross-platform integration unifying Dotdigital and Fresh Relevance after the 2023 acquisition. The core was a shared event pipeline built on Azure Event Hubs and a Protobuf schema, tying together two systems on different stacks (.NET, JavaScript, TypeScript, NodeJS) so Dotdigital customers could reach Fresh Relevance's personalisation - spanning both frontend and backend work.
Fresh Relevance Ltd
Sep 2022 - Aug 2024I collaborated across engineering, product, and business teams to plan and deliver features for a large-scale e-commerce personalisation platform. I led development of the real-time session and personalisation data display, improving visibility into live customer behaviour, and contributed to an on-site content editor that let clients build and deploy personalised, cross-channel experiences in real time.
Things I've built
Real-time art recognition app
My final-year project: a mobile app that recognises art in real time by running an embedded YOLOv5 model directly on the device - no external APIs, all inference on-device.
Neuroevolution model
Built from scratch as an upper-secondary final project: a neuroevolution model that reaches set goals by mutating and adjusting network weights across generations.
iArsenic
A Web-based application to estimate arsenic levels in untested wells in Bangladesh.