Netherlands
Aspiring full-stack developer with system engineer’s mindset, hands-on experience in AI, IoT, edge computing, and cloud-based infrastructure optimization. I work across most of the modern frameworks and enjoy building challenging systems that connect hardware, low-level programming, and intelligent software—from IoT sensor networks, mmWave radar and environmental monitoring, to AI analytics, digital twinning, and interactive computer vision applications on edge or cloud. Over four years at Fontys ICT as a Delta student, I have worked with local companies and startups as an engineer or co-founder. Let's connect! 🤝 #FullStackDeveloper #StartUp #Researcher #Maker #AIoT
Designing and realizing a cloud-based pipeline optimization solution scalable to thousands of GCP VMs as a reusable composite GitHub Action. Focused on code profiling and resource utilization analysis for VM rightsizing and cost reduction. - Developing a resource-sizing recommendation method with a multistep combined static & dynamic code profiling with /proc system data observation, capable of self-calibrating through several cycles and accurate CPU/RAM monitoring per task, per CPU core - GCP metrics analysis for data-driven rightsizing to evaluate accuracy of profiling in production - Custom solution allowing full-access to sizing logic, transparency and precise resource utilization data - End-to-end design, realization and ownership - Work with Docker inside RedHat Linux with a few more custom layers of dependencies all automated in shell scripts utilized by GitHub actions inside larger workflows to create compatible GitHub on prem runners - Successfully handle complexity and make tangible, transparent and transferable products - Working with Just-In-Time (JIT) access and "need-to know" restrictions - Working in a diverse team of engineers with different levels of expertise, experience and cultural background - Collaborate across and outside the organization - Contribute to automation, monitoring, and secure cloud operations in a high-security environment - Working with GitHub Copilot and effectively speed up research and development - Actively follow Copilot integration seminars, news inside the organization and AI agentic solutions development and integration by different teams to keep up with the latest updates Custom optimization loop realized as a Python tool to profile Gradle (C/C++, Java, Kotlin and other) projects, with hundreds of dependencies, invoked inside VMs for GH on perm runners, to quickly compile and profile the code + GCP metric data analysis. GitHub Actions & Workflows, YAML, Python, GCP, Shell, Linux, Docker, CI/CD, GitHub Copilot, LLM
Lead R&D project at Fontys ICT Delta. Discovered and logically developed the concept of the Universal Matrix. The Universal Matrix (UM) is a recursive, parsimony-driven information system whose elementary state (the dot) undergoes minimal-action transformations that generate a self-similar fractal encoding structure, meaning, and inter-domain mappings. Developed: - formal construction protocol - RL agent - several pattern generation algorithms - collaborated with another researcher - linked to existing research - prototyped AI companion for problem solving with a standardized pattern-based process (utilized LLMs and system prompts) - prototyped intuitive UI for Security Operations Center (SOC) Tier 1 decision-making support with a constrained fractal-based triage graph - linked UM to Ashby's Law of Requisite Variety, Occam's razor and least action principle - laid foundation for the pattern as a formal system - strengthened the theory with truth tables for each stage of the pattern
Founder of open-source project. Cognitive enhancement, AI research and development. Custom heuristic-based framework for intuitive decision making and problem solving. Operate as a ZZP and collaborate with startups and companies as a full-stack hardware and software engineer. Product development, conceptualization & realization.
Researched and benchmarked websites of Dutch plastic recycling and engineering consultancy companies, then translated findings into a new project website from concept to deployment (including hosting setup) in collaboration with a marketing & communications student. Co-developed and maintained the project’s digital infrastructure, including communication and collaboration channels (Teams, WhatsApp, secure data sharing) for 3 subgroups, 17 students, and 2 external stakeholders. Collaborated with chemical and electrical engineering students to explore Industry 4.0/5.0 readiness, digital twin standards, and industrial automation for a plastic-waste-to-methanol demo plant, aligning with EU initiatives such as Horizon Europe. Translated research outcomes from ASPEN process simulations into a research-based roadmap for digital infrastructure and sensor prototyping concepts to support future implementation of the demo plant. Facilitated stakeholder interviews to clarify goals and requirements, reported progress regularly, coordinated feedback loops, and supported overlapping research questions across subteams.
Invited to join the 3 Beam team, I transformed the concept of an interactive LED Black Board—integrating sensors, microcomputers, and full-stack hardware/software—into a functional prototype during an internship. Recognising its potential, I facilitated collaboration between Fontys and the company to ensure its continuation. The project gained traction after being pitched to students from Open Learning & Delta, bringing in new contributors. The codebase, built with OOP components, was documented at a foundational level and organised in a GitHub repository, laying the groundwork for future improvements Guided the project with Fontys ICT & Delta students, ensuring its long-term sustainability and impact. With a successful realization of two connected interactive prototypes by student teams.
Project: Built an AIoT “Black Board” with an LED matrix, connecting TMC offices globally to foster creativity, networking, and professional development among employeneurs. Key Contributions: - Hardware/Software Architecture: Deployed Raspberry Pi 4 & connected Pico over USB with multiple sensors (temp, humidity, light, sound, IR), implementing full-duplex UART communication and auto-boot. Prototyped FPGA microcontrollers (TangNano 9K) for advanced LED control. - Data Management & Security: Utilized SQLite, shell scripts for SSH-based DB cloning, and Tailscale for secure remote management; ensured foundational cybersecurity. - Generative Visualizations: Created interactive LED modes (2D/3D mazes, Pong, wave oscillators) and sensor-driven animations responsive to environmental inputs. - API & LLM Integrations: Fetched live data (Buienradar, NASA), built text visualizations with sentiment analysis, and deployed an Ollama server on remote Raspberry Pi 5 for local AI tasks. Set up lightRAG for further development of LLM querying of DB data with sensors and openAI API. - Collaboration & Scalability: Employed Jira (60+ tasks), C4 docs, GitHub repos, Documented processes extensively with video/photo logs. - Outreach & Partnerships: Presented updates to stakeholders, received positive feedback, and extended the project with Fontys University (Delta/Open Learning challenge). Secured funds for new hardware and invitation to continue the collaboration with 3Beam. Outcome: Delivered a functional, scalable AIIoT platform, enabling interactive art, games, across multiple locations. The system is recognized for its inventive approach, fostering ongoing development and broader adoption.