Experience

Mar 2025 – Present

🔧 Automation & Tooling
• Owned Windows endpoint provisioning end-to-end — PowerShell automation, WSL integration, and Microsoft Intune device management
• Streamlined Windows installation and Autopilot enrollment with unattended answer files (Unattend.xml)
• Designed and shipped modular Python CLI tools, distributed as pip packages and .exe (PyInstaller, Nuitka, uv) via an internal Nexus registry
• Maintained Python project environments and minimum supported versions through systematic dependency analysis
• Extended internal infrastructure libraries and APIs (browser namespace, VM switch setup endpoint, SPICE/proxy configuration, VM IP/hostname mapping)
• Implemented Selenium-based authentication for internal web automation across Chrome, Edge, and Firefox
🧩 CI/CD & GitOps
• Optimized GitLab CI/CD pipelines with Docker Bake, JUnit XML test reporting, and merge-request templates — cutting build ramp-up time
• Established GitLab governance across teams: golden merge-request and repository rules with automated mandatory-reviewer assignment
• Conducted a GitLab Premium-vs-Free cost analysis to inform the company's licensing decision
• Deployed a Dockerized RDP Gateway (rdpgw) integrated with Microsoft Entra ID (OIDC) for MFA-secured remote access
🌐 Infrastructure & Networking
• Built and scaled DHCP infrastructure with Kea DHCP containers, BIND9, and KEA DDNS over bonded VLANs, including static IP reservations
• Configured NGINX (HTTP-to-HTTPS redirection, routing) and self-hosted noVNC with WebSocket access restricted to setup owners
• Implemented API and console access restrictions (VirtViewer)
• Built a status page and admin dashboard to monitor and control hardware setups, including remote power control
🧠 Policy & Process
• Authored the company-wide AI usage policy, defining approved use cases and guardrails
• Wrote the internal guidelines for GitLab repository structure, pipelines, and merge workflows

Oct 2023 – Feb 2025

• Built Windows container images (Dockerfile) with CUDA, CMake, and Conan toolchains, using Hyper-V and process isolation
• Provisioned and maintained VMs and servers with Proxmox VE, including offline upgrades and backup strategies
• Set up Microsoft Azure Pipelines agents with container support for the build infrastructure
• Automated deployments with Ansible as Infrastructure as Code (IaC), orchestrated through Semaphore UI
• Automated administration and recurring operations tasks with PowerShell

Apr 2024 – Sep 2024

• Thesis: “Optimization of transient coding in mixed lossless/lossy coding schemes” — Low Delay Audio Coding group
• Graded 1.7

Apr 2023 – Sep 2023

• Developed GitLab CI/CD pipelines to build and sign Android (Gradle) and iOS (Xcodebuild) projects
• Containerized build tooling with Docker and integrated it into the CI workflow
• Installed and registered GitLab Runners for the build pipelines
• Published build artifacts to a Maven repository in Sonatype Nexus from GitLab pipelines
• Developed and maintained Python and Bash automation scripts

Oct 2021 – Oct 2023

• Maintained build and deployment processes for Bluetooth audio encoders with GitLab CI/CD pipelines
• Automated web testing within CI/CD and built web-scraping tools with Selenium
• Developed web-based listening tests with PHP and JavaScript (frontend & backend)
• Designed a SQL-backed search website that reduced lookup times for Fraunhofer deliveries
• Built Python and HTML tooling for hearing tests run on AWS / Amazon Mechanical Turk
• Developed and maintained the LC3 codec (Low Complexity Communication Codec) in MATLAB, compliant with ETSI standards

Nov 2023 – Feb 2024

• Tutored the Introduction to Software Engineering course
• Led weekly exercise sessions and guided students through Python assignments

Apr 2021 – Feb 2022

• Researched speech enhancement and noise suppression in audio signal processing
• Applied deep neural networks (RNN architectures) in TensorFlow to suppress noise in audio signals

Oct 2021 – Feb 2022

• Supported the Statistical Signal Processing lab course
• Prepared Jupyter Notebook materials and supervised students in Python programming

Oct 2021 – Oct 2022

• Tutored the preparatory course “Programming with Python” (Oct 2021 & Oct 2022 intakes)
• Helped incoming students build a working foundation in Python

Oct 2020 – Dec 2020

• Taught neural network architectures and their implementation in a hands-on deep learning course

Sep 2017 – Mar 2019

• Designed assignments and course projects; graded exams and supported students
• Prepared and curated course materials for lecturers
• Courses: Electric Circuits, Engineering Mathematics, Technical English