Welcome to My Portfolio

My name is Alexander Conserva, and I am a final-year Cloud & Cybersecurity student at Thomas More. This portfolio serves as the capstone of my studies, showcasing my concrete IT realizations, core achievements, and technical growth as I prepare to graduate and enter the professional field.

About Me

Profile photo

Why Cloud & Cybersecurity - Elektronica-ICT?

My passion for technology, system security, and understanding how complex networks operate drove me to pursue a degree in Cloud & Cybersecurity. I am fascinated by the mechanics of IT infrastructure and the continuous challenge of keeping systems secure in a rapidly evolving digital landscape.

My Hobbies & Interests

My technical curiosity naturally extends into my personal life. I am an passionate aerial photographer, utilizing drones to capture unique perspectives of landscapes and nature during my travels. At home, I bring that same attention to detail to specialty coffee brewing, where I am constantly refining my process and perfecting my latte art. Additionally, I stay disciplined and focused through regular strength training.

Future Dreams & Ambitions

I am looking to build a career where I can continuously challenge myself, drive real impact, and evolve alongside the tech industry. Outside of my professional ambitions, I plan to keep exploring new hobbies and pursuing my personal interests.

Technical Skills

  • SIEM & SOAR
  • Cybersecurity Principles
  • Network Security
  • Docker
  • pfSense
  • Cloud Infrastructure & Architecture
  • Linux en Windows

Projects & Achievements

Project 1

Cercuits AI Assistant

In Progress

Cercuits, a specialist in ceramic-based prototype PCBs, receives frequent technical inquiries from customers seeking advice on feasibility, prototyping options, and occasionally cost estimates. These emails often require highly technical responses, which are currently handled manually by experts.

The goal of this project is to build a prototype of an AI-powered assistant that acts as a technical sales engineer. The system will allow incoming customer emails to a dedicated AI inbox. In return, they will receive a draft reply generated by the AI, based on historical data, internal documentation, and relevant scientific literature. Expert corrections will be stored and used to continuously improve the system’s performance over time.

Key considerations include ensuring data privacy and IP protection, maintaining traceability and interpretability of AI-generated responses, and enabling the system to handle multimodal inputs such as technical drawings alongside text.

AI Python MLOps vLLM Docker Local Github
Project 2

Cloud Platform

In this project, our team has designed and deployed a comprehensive Web Hosting Platform with virtualization, network security and container technologies. The goal is to create a scalable, secure and manageable environment capable of hosting our clients web application, while providing centralized logging and monitoring capabilities suitable for enterprise environments.

To ensure security observability and centralized log management, we have started integrating a Security Operations Center (SOC) stack, leveraging tools such as Wazuh, OCS Inventory, Graylog for log ingestion, analysis and visualization.

Kubernetes Docker SQL HTML
Project 3

Parcel Locker

In this project, our team has created an automatic parcel locker. So, when you order something, you will get an email with a QR-code and a pin code for if the QR-code is not working. You can choose when you want to pick up your package, you just scan your QR-code and the locker with your package will open. If your QR-code is not working you can type in the pin code.

We also have a website where we can send the email, they are created automatically and put in the database. After using the QR-code it will be deleted from the database. On this website you can also manually open the two lockers.

Python HTML IoT MySQL
Project 4

Smart Irrigation System for Home Use

In this project, we have a soil moisture sensor that sends its values to the PI and Ubeac. These values are analysed and when the plant is moist enough, a thumb appears on the screen. When the plant is too moist, a thumb appears down on the screen and when the plant needs water, a water drop appears on the screen. We also have a lux sensor that checks whether the plant has enough light. When the plant has enough light, a sun appears on the screen and when the plant has too little light, a moon appears on the screen. When the plant does not have enough water, the light also starts to flicker. The value of the soil moisture sensor is sent with Mosquitto and the PICO then sees when the plant does not have enough water and the light starts to flicker.

IoT Python

Internship

Central Logging with SIEM / SOAR at Intersoft Electronics

Intersoft Electronics

Context & Project Summary

I completed my internship at Intersoft Electronics, a company specializing in radar technology. During my time there, my assignment focused on the investigation and implementation of a centralized log management and monitoring solution tailored for their outdated and unsupported legacy IT environments. The primary challenge was to safely extract and standardize log data without jeopardizing the stability of these fragile systems.

Realizations

To achieve this, I designed and implemented a layered architecture utilizing native Wazuh agents, agentless monitoring, direct syslog, and Vector as a specialized log-router for edge cases. Within the Wazuh SIEM, I manually configured specific detection rules and integrated a local MISP server for Threat Intelligence, enabling the system to automatically block known malicious actors. Furthermore, to replace standard SOAR solutions that lacked the necessary overview, I designed and developed a custom, locally hosted web application to act as the central system for incident response.

Added Value for the Organization

The true added value of this project lies in eliminating critical network blind spots and minimizing potential attack vectors within the company's infrastructure. By integrating automated alert correlation, auditory warnings, and an AI-assistant for complex log analysis, the custom dashboard significantly reduces the workload and reaction times of security analysts during critical incidents. Additionally, by implementing a strict 365-day log retention policy, the project ensures the organization continuously meets compliance.

Relevant Documents

Curriculum Vitae

Education

Bachelor Cloud & Cybersecurity - Elektronica-ICT

2023-present. Thomas More Geel

Relevant coursework: Cybersecurity & Security Operation Center, Cloud Engineering, System Engineering, Networking, Application Security, Cloud Platforms, Soft Skills...


Secundair: Sociale Technische W.

2017-2023. Heilig Hart van Maria, Berlaar

Experience

Internship - Intersoft Electronics

During my final year of the Bachelor in Electronics-ICT – Cloud & Cyber Security program, I completed an internship at Intersoft Electronics, a company specializing in radar technology. During this internship, I implemented a centralized log management and SIEM monitoring solution designed to safely monitor their fragile legacy IT environments. To support this system, I developed a custom web application featuring case management, a dashboard with auditory warnings, and AI integration to make the incident response process more efficient. This internship taught me a lot about infrastructure security, log management, and applying 'security by design' principles in complex architectures.

Languages

Dutch
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English
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