Muhammed Sihebi

Angestellt, Machine Learning Engineer, Celonis Deutschland GmbH
Darmstadt, Germany

Skills

Natural Language Processing (NLP)
Large Language Models (LLM)
Python
Artificial intelligence
Machine Learning
Deep Learning
Data Science
Hugging Face
Transformers
Software Development
Front-End Development
Back-End Development
Feature Engineering
Data Preparation
Leadership
Reinforcement Learning
Jupyter
Data Visualization
RAG
Research Skills
Language Modeling
Analytical Skills
Data Analysis
Problem Solving
RESTful API
Prompt Engineering
Information Extraction
NLTK
PyTorch
Seaborn
Matplotlib
MongoDB
Agile
Scrum
SQL
FastChat
vLLM
OpenAI
LangChain
Conversational AI
Generative AI
Teamwork
FastAPI
Containerization
Docker
Vue.js
Java
Entity Framework Core
SignalR
Azure DevOps
Version Control
Web Development
Data Mining
Algorithms
C
C++
HTML
CSS
JavaScript
NoSQL
Node.js
Bootstrap
Firebase
C#
Express.js
Desktop Application Development
Neural Networks
React.js
ASP.NET Core

Timeline

Professional experience for Muhammed Sihebi

  • Current 1 year and 3 months, since Sep 2024

    Machine Learning Engineer

    Celonis Deutschland GmbH
  • 1 year and 2 months, Apr 2023 - May 2024

    AI/ML Engineer (Working Student)

    Ubiquitous Knowledge Processing (UKP) Lab

    (1) Integrating key features such as a real-time information retrieval system and dynamic deployment of LLMs. (2) Developed a chat platform, featuring a chat interface, and built-in tools for deploying and evaluating LLMs, including local models deployed using the FastChat framework the vLLM serving engine, and models from OpenAI and Replicate.ai. (3) Ensured seamless system operation by resolving integration and compatibility issues of service components.

  • 4 months, Jul 2021 - Oct 2021

    Software Developer

    smartPulse Technologies

    During my time at the company, I was a member of the software engineering team as an intern. (1) Enhanced the company's flagship service performance and usability by adding key new features. (2) Mastered Agile and Scrum methodologies using Azure DevOps.

Educational background for Muhammed Sihebi

  • 1 year and 9 months, Oct 2022 - Jun 2024

    Artificial Intelligence & Machine Learning

    Technische Universität Darmstadt

    (1) Thesis topic: Behavior Measures as Training Signals for Large Language Models (2) Relevant content: Advanced theoretical and technical expertise in AI & ML, with a strong focus on NLP and LLMs, including their development, training, and operational deployment (3) Scholarship: Awarded the German Academic Exchange Service (DAAD) for two years based on outstanding academic performance

  • 3 years and 10 months, Sep 2018 - Jun 2022

    Computer Science

    Turkish-German University

    (1) Thesis topic: Building a QA System for Languages with Medium or Low Resources Using Multilingual Transformer Models (2) Relevant content: AI, Machine and Deep Learning, Data Science, Databases, and Software Engineering (3) Scholarship: Awarded the German Academic Exchange Service (DAAD) Scholarship for five years based on outstanding academic potential

Languages

  • English

    Fluent

  • German

    Fluent

  • Turkish

    Fluent

  • Arabic

    First language

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