Muhammed Sihebi

(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.

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.

(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

(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