Evan Christopher

M.Sc. Information Systems student at TUM | Working Student at Siemens | Enthusiastic about cloud-native full-stack development, AI, and decentralized technologies | Building intelligent and user-centric solutions.

Munich, Germany, CET

EC

Work Experience

sebis @ TUMsebis @ TUM

Nov 2024 - Apr 2025

Research Assistant (HiWi)

  • Developed a research-driven full-stack web app for issuing Verifiable Credentials in the Gaia-X ecosystem, ensuring secure and scalable digital identity management, aligned with industry standards.

SiemensSiemens

Apr 2023 - Present

Working Student - Software Engineer

  • Engineered and deployed features for multiple customer-facing web applications in IT Identity Management, integrating APIs and leveraging IaC for scalable, reproducible environments.
  • Contributed to CI/CD pipelines and coordinated work via GitLab, improving deployment efficiency and ensuring reliable delivery of features.

Giesecke und DevrientGiesecke und Devrient

Dec 2021 - Apr 2023

Working Student - Full Stack Developer

  • Implemented features for an internal HSM testing tool using Angular, improving tool usability and reliability.
  • Maintained documentation and tracked tasks with Jira to ensure efficient team collaboration.

Education

Technical University of Munich

Oct 2024 - Present
Master of Science in Information Systems | Current GPA: 1,8/ 1,0 (German System)
  • ⏳ Master's Thesis on Differential Privacy and LLM alignment.
  • Led a team of three in developing a microservice-based AI application with CI/CD pipelines, integrated monitoring and logging, and AWS deployment, enhancing development efficiency and system reliability for a DevOps course project.
  • Directed a four-member team to design and develop research libraries and a demo application for the SEBA Lab Course practicum, emphasizing usability and robust architecture.
  • Led the SEBA Master Project — developed a full-stack platform for student apartment subletting, integrated Stripe payment processing for seamless transactions, and delivered an intuitive, user-friendly solution.
  • Relevant coursework: Software Engineering, AI/ML/NLP, Cloud, DevOps, Legal Tech, Blockchain, Algorithms, and Economics

Technical University of Munich

Oct 2020 - Oct 2023
Bachelor of Science in Information Systems | GPA: 2,0/ 1,0. With Merit (German System)
  • Bachelor's Thesis: 'How to Wisely Identify Natural Subjects with Verifiable Credentials' (1.0 grade)
  • Participated in iPraktikum and JavaScript technology Seminar
  • Relevant coursework: Software Engineering, AI/ML, Databases, Mathematics, Economics.

Skills

Things I know how to make work — sometimes on the first try, usually better after coffee:
TypeScript/JavaScript
React/Next.js
TailwindCSS
Node.js
Express.js
Java
Spring Boot
AWS
Terraform
Git
Docker
Python
SQL
MongoDB/NoSQL
Figma
Swift/SwiftUI

Projects

Photography blog

Designed and built a highly visual, AI-powered travel photography blog featuring semantic image search using Jina clip embeddings, automated post summarization via Llama 3.1, and an integrated Sanity Studio workflow with continuous vector database synchronization.

Next.js
Sanity CMS
Tailwind CSS
Upstash Vector
AI/ML

ZenAI - App

Built an AI-powered mental wellness journaling app delivering personalized mental wellness insights and recommendations, with emphasis on CI/CD, monitoring, and cloud-based deployment.

Course Project
DevOps

CRSet - Demo and Library

Development of a demo for a research project funded by the Ethereum Foundation on a novel revocation mechanism for verifiable credentials, including related libraries.

Practicum
Ethereum
Self-Sovereign Identity
W3C Verifiable Credentials

Themis App Themis App

Development of an open-source IOS application for TUM tutors to grade programming assignments and exams as an extension of Artemis for iPraktikum

Practicum
SwiftUI/UIKit

Genomics.ai Genomics.ai

Implemented features for the Helmholtz Institute of a web app to annotate and visualise single-cell sequencing data using neural networks as a part of the JavaScript Technology Seminar.

Seminar
React.js

Procurement Sourcing Recommender

Placed top 3 in a challenge set by Spherecast, building an explainable AI sourcing-recommendation system that uses RAG and LLM-based extraction to map compliance certifications across 500+ raw materials and finished goods, then applies constrained set-cover optimization to recommend the minimum compliant supplier set.

Hackathon
RAG
LLM
Python

Nutree.si

Won 2nd place at GarudaHacks 3.0 (largest hackathon in Southeast Asia) for designing and developing a mobile app for nutrition tracking and calorie analytics.

Hackathon
React Native