Tech stack, Testing
pytest
Used in 5 places directly.
Projects (3)
GLOBE-CoP: Data Space Online Learning Platform
A cloud-native, Udemy-style learning marketplace (instructors publish HD courses and live webinars, learners get recommendations, forums and progress dashboards) deployed on Kubernetes (EKS/GKE) with full CI/CD and observability.
- Built the responsive frontend (ES6+, SASS, Flexbox/Grid) with search, enrolment, playlists and in-browser HLS video playback.
- Designed the backend: Node/Express REST APIs plus Flask micro-services for auth, Stripe/PayPal payments and recommendations, secured with JWT; RBAC for Admin/Instructor/Student.
- Dockerised every service and deployed with Helm to EKS/GKE; GitHub Actions and Jenkins pipelines build, scan and test (Jest, pytest, Selenium) and push signed images.
ROSPIN-SAT-1: CubeSat on-board computer (ESA Fly Your Satellite!)
Software, infrastructure and quality strategy for a CubeSat OBC under ESA's Fly Your Satellite! Design Booster: layered RTOS firmware with CCSDS telemetry, an embedded CI/CD lattice, hardware-in-the-loop benches and telemetry anomaly detection.
- Designed the layered firmware architecture and tuned FreeRTOS/Zephyr scheduling, multi-bus I/O (I²C, SPI, UART, CAN) and packet-based CCSDS TM/TC with error detection, retries and configurable timeouts.
- Containerised ARM cross-compilation and built Jenkins + GitLab CI pipelines: static analysis (Cppcheck, Clang-Tidy), unit tests (Unity, Google Test), coverage (gcov/lcov), nightly builds, auto-deploy to remote benches via Ansible with rollback.
- Provisioned Debian/Fedora build farms, staging networks and VPN gateways with Terraform + Ansible; hardened with image scans (Trivy/Clair), key-only SSH, SELinux/AppArmor, nftables and VPN/VLAN segmentation.
Sound of Vision: audio-haptic navigation for the visually impaired
Real-time detection of obstacles, text, pedestrians and stairs rendered as spatial audio and wireless haptic feedback, running on a GPU-accelerated NVIDIA Jetson edge cluster orchestrated with Kubernetes and MLOps.
- Detection algorithms for obstacles, text, pedestrians, sidewalks and elements of interest (stairs, doors, potholes) using deep-learning computer vision.
- Spatial-audio rendering optimised so users can classify objects and navigate a scene by sound.
- Designed the fully wireless haptic belt: wireless charging and ESP-NOW communication via an ESP32-C3, and the algorithms controlling haptic parameters.
Roles (1)
Courses & Certifications (1)
- certTest Automation: Certificate of Completion, HIL Academy
pytest