16.11.2025 aktualisiert
20 % verfügbar
ML Engineer with a focus on NLP
Friedrichsdorf, Deutschland
Weltweit
PhD in Computer Science (enrolled)Skills
HTMLJavascriptKünstliche IntelligenzAmazon Web ServicesData AnalysisComputer VisionUnterrichtenBusiness IntelligenceC++CSSDatenvisualisierungData WarehousingRelationale DatenbankenLinuxDistributed ComputingDjangoR (Programmiersprache)Web-PortalePythonLinux ServersMachine LearningNatural Language ProcessingOpencvTensorflowScipySoftwareentwicklungSQLStatistikenTypescriptVisual AnalyticsWeb ApplikationenRust (Programming Language)ChatbotsPytorchReactJSLarge Language ModelsDeep LearningGitKnowledge RepresentationAngularJSVBA Programming LanguageFront EndGPTDocker
AWS, Angular, Artificial Intelligence, AI, C++, CSS, CSS Frameworks, chatbots, computer vision, analytics, data visualization, data warehouse, Deep Learning, Distributed Systems, Django, Docker, frontend,, Git, HTML, Computer Science, JavaScript, knowledge representation,, LLM, Linux, Linux server, machine learning, Natural Language Processing, OpenCV, python, PyTorch, R, React, relational database, Rust, SQL, Scipy, Software engineering, TensorFlow, TypeScript, VBA, Visual Analytics, web application, web UI
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
− Deployed Inference endpoints on AWS for Embedding and Language Models using vLLm
− Constructed training pipelines for LLMs and Embedding models
− Performed Knowledge Distillation between different LLM architectures
− Based on recent research implemented End to End training for RAG chatbots
− Constructed training pipelines for LLMs and Embedding models
− Performed Knowledge Distillation between different LLM architectures
− Based on recent research implemented End to End training for RAG chatbots
* Contributed in the Nature 4.0 research project in the area of bat detection on video
* Implemented machine learning models for animal detection in images and videos
* Applied various techniques from computer vision for animal tracking on videos
* Trained multiple detection models on a Linux server using TensorFlow and OpenCV
* Implemented machine learning models for animal detection in images and videos
* Applied various techniques from computer vision for animal tracking on videos
* Trained multiple detection models on a Linux server using TensorFlow and OpenCV
− Participated in the AI Knowledge research project resulting in one published workshop paper and one patent application in the area of knowledge representation
− Investigated symbolic representations of knowledge for autonomous driving
− Researched how statements can be converted into logic formulas using LLMs
− Trained and Finetuned NLP models (GPT-2, T5) on AWS servers using PyTorch
− Worked on new approaches for dataset generation using LLMs
− Investigated symbolic representations of knowledge for autonomous driving
− Researched how statements can be converted into logic formulas using LLMs
− Trained and Finetuned NLP models (GPT-2, T5) on AWS servers using PyTorch
− Worked on new approaches for dataset generation using LLMs