Junior developer focused on IoT systems, practical backend tooling and Machine Learning Models. I build projects that are reproducible, well-documented, and demoable.
End-to-end telemetry pipeline with alerts, a hardware-free simulator, and a Dockerized local stack (Mosquitto + Node-RED).
Ingests sensor readings over HTTP, validates payloads, stores latest-per-device, and exposes query endpoints (/latest/{device_id}) with tests + CI.
- Integrates with my IoT pipeline (MQTT → Node-RED → HTTP ingest).
- Repo
Reproducible training/evaluation pipeline based on the Fashion MNIST dataset.
- Currently working on GAN implementation
- Repo
Reproducible training/evaluation pipeline with metrics and artifacts based on HipMRI data.
- Currently squashing bugs with image rendering
- Repo
Bipedal ML Agent learning to walk in Unity.
- Currently stabalising training towards steps rather than sliding
- Repo
- Languages: Python, Lua, JavaScript (Node-RED), C# (Unity)
- IoT: MQTT, Node-RED, ESP8266/NodeMCU, automation/alerts
- Tooling: Docker/Compose, Git/GitHub, Windows dev workflows
- Machine Learning: UNet, Improved UNet, VAE
