Pursuing M.Sc. Computer Engineering at TU Berlin

Lars Becker

Computer Scientist with a B.Sc. from Leipzig University and former CERN Summer Student, building impactful digital solutions at the intersection of technology and science.

Portrait of Lars Becker
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About Me

Hi! I'm Lars Becker, a Computer Scientist with a Bachelor of Science from the Leipzig University. Currently, I am on an Erasmus Exchange in Trondheim at the NTNU, while I do my Master in Computer Engineering at the TU Berlin. Last summer I did a studentship at CERN, where I had the opportunity to combine my enthusiasm for technology and science in a world-class research environment. I am passionate about building impactful digital solutions and enjoy collaborating on innovative projects that make a difference.

Now
M.Sc. Computer Engineering
TU Berlin
Previously
Summer Student
CERN
Graduated
B.Sc. Computer Science
Leipzig University
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Projects

Aug – Nov 2026

NTNU · TTK4155

Embedded Ping Pong Game

In the NTNU course Industrial and Embedded Computer Systems Design, I built a distributed, computer-controlled ping pong game in a group of three. An ATmega162 on a hand-wired breadboard and an ARM Cortex-M3 on an Arduino Due communicate over a CAN bus to read joystick input, drive a servo, motor and solenoid, and detect goals with an infrared beam – with a closed-loop controller positioning the racket.

Embedded CCAN BusAVRARM Cortex-M3

Jun – Aug 2025

CERN

Kubernetes Monitoring

As a Summer Student at CERN in the Communication Tools group (Communication Systems Section, IT Department), I am currently setting up a monitoring solution for the Kubernetes clusters that run on CERN's local OpenStack Cloud Infrastructure. My work involves deploying and configuring monitoring tools to collect metrics and logs, and ultimately providing a Grafana dashboard that visualizes key statistics and insights for the team.

KubernetesOpenStackGrafanaPrometheus

Oct 2024 – Mar 2025

LLM-Powered Metadata Extraction

Bachelor Thesis

LLM-Powered Metadata Extraction GUI for DBpedia Databus. This thesis presents a custom benchmark to evaluate LLM performance in code generation for metadata extraction, implementing an interactive GUI that uses LLMs to support the creation of code snippets for Databus Mods, packaged into a Flask API for universal execution.

LLMsPythonFlaskFAIR Data

Mar – Nov 2024

Institute for Applied Computer Science

Digital Index

At the Institute for Applied Computer Science, I contributed to the development of the Digital Index platform. This tool enables companies to assess their AI-readiness and receive personalized, science-based recommendations for optimizing their digital strategy. The platform is continuously improved, human-centered, and aligned with the principles of Industry 5.0, combining AI with social and ecological goals.

ReactPythonAI AssessmentIndustry 5.0
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Skills

Languages & Frameworks

PythonCJavaScriptReactFlaskHTML/CSS

Embedded Systems

AVR (ATmega162)ARM Cortex-M3CAN BusSPIUARTPWMPI ControlJTAG DebuggingOscilloscope

Infrastructure & DevOps

DockerKubernetesOpenStackGrafanaPrometheusELK StackGitYAML

Data & AI

Large Language ModelsLLM BenchmarkingCode GenerationAPI DevelopmentDatabaseData Analysis

Let's work together

Have a project in mind or just want to say hi? My inbox is always open.

beckerl2003@gmail.com