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JK

Jannek Kloettschen

AI & Machine Learning Enthusiast • Full-Stack Developer

Education

Technical University Berlin

2025–2028

M.Sc. Computer Science

  • Expected graduation in September 2028
  • Focus on Deep Learning, Machine Learning, Artificial Intelligence and Finance/Business

Berlin School of Economics and Law

2022–2025

Cooperative Education Program B.Sc. Computer Science

  • Projects on web development (JavaScript/TypeScript) and Machine Learning (Python)
  • Dissertation on predictive Algorithm Development (to determine Trackside Asset Health)

Hedwig Bollhagen Gymnasium Velten

2020–2022

A levels (Abitur)

  • Advanced Course: Mathematics & English
  • Voluntary participation Computer Science

Hasso-Plattner-Institut Potsdam

2020–2021

One-year Evening Course on Computer Science

  • Projects on Computer Vision and Human Computer Interaction
  • Mathematical and Algorithmic Riddles

Hedwig Bollhagen Gymnasium Velten

2016–2020

Visiting Secondary Level I

  • Compulsory Subject since grade 9: Computer Science

Work Experience

Working Student at Hitachi Rail GTS Deutschland

2025–2029

Department Digital Competence Center (DCC)

  • Development of a MAS (Multi-Agent-System) as part of an Asset-Management System

Internship at Hitachi Rail GTS Canada Inc., Toronto

2024
  • 4 Month Internship in Systems Engineering & Integration
  • Involvement in Migration Project

Cooperative Education Program with Hitachi Rail GTS Deutschland GmbH, Berlin

2022–2025
  • Worked in multiple departments: Radio Block Centre, Deployment Solutions, Engineering Support and Digital Competence Centre

Internship at Bombardier Transportation GmbH, Hennigsdorf

2019
  • Two-week internship in the field design and engineering

Programming Expertise

Hybrid Case-Based-Reasoning System

2024

Project at University

  • Built a Python library combining case-based reasoning with logistic regression and Backpropagation Neural Network, tested on JPMorgan transaction data using Python, scikit-learn

Piguesso, Software-Engineering II

2024

Project at University

  • Developed an interactive drawing application with machine learning – powered sketch recognition, leveraging Python, TypeScript, Next.js, Tailwind CSS, Supabase and Figma

Meetandask, Software-Engineering I

2023

Project at University

  • Built a platform enabling users to connect with experts across diverse fields, schedule meetings, receive automated email notifications, and join integrated online video sessions using Next.js, Supabase, Clerk, Stripe, Figma, TypeScript, Tailwind CSS and 100ms

Skills

Programming Languages

PythonPython
JavaScriptJavaScript
TypeScriptTypeScript
JavaJava
LatexLatex
HTML/CSSHTML/CSS
CC

Frameworks & Tools

ReactReact
NextJSNextJS
TailwindCSSTailwindCSS
VercelVercel
GitGit
GitHubGitHub
BitbucketBitbucket
JenkinsJenkins
Scikit-LearnScikit-Learn

Design & Productivity

FigmaFigma
Davinci ResolveDavinci Resolve
Adobe LightroomAdobe Lightroom
PitchPitch
Microsoft WordMicrosoft Word
Microsoft PowerPointMicrosoft PowerPoint

Languages

🇩🇪German (native)🇬🇧English (fluent)🇫🇷French (basics)🇮🇹Italian (basics)

Interests

🤖Machine Learning📈Economics🏃Athletics🚴‍♂️Cycling🎾Tennis⛷️Skiing📚Reading

AI & ML Focus

Passionate about leveraging artificial intelligence and machine learning to solve complex real-world problems. Currently focused on Deep Learning, Neural Networks, and their applications in finance and business.