About

Hey, I’m Chrysanthos Kindynis, an aspiring ML/AI engineer with a background in computer science and security‑focused data work, passionate about applying AI for high‑impact problem solving.

My journey towards engineering and AI:

When I think about how to introduce myself, my mind goes back to high school in Cyprus. I was a teenager trying to figure out what I wanted to do with my life, and that’s when I discovered algorithms and programming through the Cyprus Olympiad in Informatics.

Weekly training sessions and regular competitions exposed me to data structures, algorithms, and challenging problems. I realised how much I enjoy being given a problem, a set of tools, and the freedom to design my own solution.

That feeling led me to study Computer Science at TU Delft, where I completed a bachelor’s in Computer Science & Engineering, and later a master’s in AI after recognising it as a powerful extension of my toolkit.

That mindset hasn’t changed: I’m drawn to roles where I can combine strong fundamentals and cutting‑edge methods with creativity and ownership to solve meaningful problems.

Beyond engineering and AI:

Apart from technology, I find myself drawn to creativity, journaling, reflection, and mindfulness. These practices help me stay on a path that actually resonates with me, rather than just following the next obvious step. Through these reflections, I’ve noticed that I do my best work when I balance ambitious goals with space to think, learn, and grow.

Additionally, part of the healthy challenges I like to take on is my practice in Brazilian Jiu Jitsu. I am currently a blue belt, actively training and competing when I have the chance, which keeps me grounded, resilient, and comfortable with being a beginner again and again.

Professional snapshot:

  • Education
    • High school in Cyprus — focus on Mathematics, Physics, Technology, Computer Science (GPA 19.22/20).
    • BSc Computer Science & Engineering, TU Delft
      • Data track: Big Data Processing, Data Mining, Computational Intelligence.
      • Key courses: Algorithms & Data Structures, Machine Learning.
      • Minor: Connected Creativity.
      • Thesis: Ensuring individual fairness in optimal decision trees.
    • MSc Artificial Intelligence Technology, TU Delft
      • 15 AI‑oriented, mostly project‑based courses (read this blog for more).
      • Thesis: Adaptive optimization for scalable, minimal role‑based access control (RBAC).
  • Experience
    • Volunteer team leader at campings.
    • 14‑month Special Forces (Green Berets), National Guard of Cyprus.
    • Software Engineer Intern, Building Blocks.
    • Part‑time Python Programmer, Interactive Textbooks @ TU Delft.
    • Teaching Assistant for “Data Visualization”, “Modelling and Problem Solving”, & “Creative Path”, TU Delft.
    • Data Scientist Intern, ING — automating role‑mining within Identity & Access Management (IAM).
  • Awards
    • Highest GPA among peers in final year of high-school.
    • Top 10 in Cyprus Olympiad of Informatics.
    • Best performing Special Forces (Green Berret) soldier.
  • Certificates
    • Machine Learning with Python – IBM
    • Generative AI and LLMs: Architecture and Data Preparation – IBM

I’m currently looking for opportunities where I can grow as an ML/AI engineer and work on data‑intensive products with real‑world impact.