Hi, I'm Brahim Lasmer, a passionate Data Scientist and AI Engineer based in Munich, Germany. I have experience developing cutting-edge AI voice assistants using Generative AI, LLMs, and RAG frameworks to improve efficiency and accuracy. I enjoy designing scalable AWS-based infrastructures and automating workflows to drive innovation and optimize performance. My journey has involved hands-on internships and working student roles at BMW Group and BFI Groupe Tunisia, where I automated error classifications, built MLOps pipelines, and enhanced NLP systems. My expertise is grounded in solid education in computer science with a drive for continuous learning and applying advanced AI techniques to real-world problems.

Brahim Lasmer

Hi, I'm Brahim Lasmer, a passionate Data Scientist and AI Engineer based in Munich, Germany. I have experience developing cutting-edge AI voice assistants using Generative AI, LLMs, and RAG frameworks to improve efficiency and accuracy. I enjoy designing scalable AWS-based infrastructures and automating workflows to drive innovation and optimize performance. My journey has involved hands-on internships and working student roles at BMW Group and BFI Groupe Tunisia, where I automated error classifications, built MLOps pipelines, and enhanced NLP systems. My expertise is grounded in solid education in computer science with a drive for continuous learning and applying advanced AI techniques to real-world problems.

Available to hire

Hi, I’m Brahim Lasmer, a passionate Data Scientist and AI Engineer based in Munich, Germany. I have experience developing cutting-edge AI voice assistants using Generative AI, LLMs, and RAG frameworks to improve efficiency and accuracy. I enjoy designing scalable AWS-based infrastructures and automating workflows to drive innovation and optimize performance.

My journey has involved hands-on internships and working student roles at BMW Group and BFI Groupe Tunisia, where I automated error classifications, built MLOps pipelines, and enhanced NLP systems. My expertise is grounded in solid education in computer science with a drive for continuous learning and applying advanced AI techniques to real-world problems.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate

Language

Arabic
Fluent
English
Fluent
French
Advanced
German
Beginner

Work Experience

Data Scientist / AI Engineer - Working Student at BMW Group
February 1, 2024 - Present
Developed an AI voice assistant for test drivers using Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivering precise, real-time instructions to improve testing accuracy and efficiency. Built AWS-based infrastructure API request handling and secure, scalable data storage. Designed and deployed ETL pipelines using AWS Glue with PySpark scripts to transform and prepare data efficiently.
Data Scientist / AI Engineer - Intern at BMW Group
September 30, 2024 - August 22, 2025
Automated error ticket classification using ML/DL models, reducing manual effort and improving efficiency and accuracy. Built an MLOps pipeline for continuous model training and testing of binary classification models on AWS SageMaker, increasing defect detection reliability. Created an AWS QuickSight dashboard for continuous model monitoring, enabling proactive optimization and maintaining high classification accuracy.
Data Scientist / AI Engineer - Intern at BFI Groupe Tunisia
December 31, 2023 - August 22, 2025
Developed a Natural Language Processing system to improve understanding and responding to user queries significantly enhancing self-service capabilities. Optimized web page performance using the Next.js framework, reducing load times and improving user engagement. Enhanced database performance by implementing MongoDB, reducing query response times and boosting application responsiveness.
Software Engineer - Intern at The headquarters of the Bank of Tunisia and the Emirates
August 31, 2022 - August 22, 2025
Implemented a Claims Management System using Jakarta EE, reducing internal claims processing time. Optimized system workflows, significantly decreasing error rates during claims processing. Ensured data integrity and accessibility by deploying a secured database storage solution for critical claims information.

Education

Master's Degree in Computer Science at Hochschule Schmalkalden - University of Applied Sciences
January 1, 2023 - August 22, 2025
Master's Degree in Computer Science at ESPRIT - Private University of Engineering and Technology
January 1, 2021 - August 22, 2025
Bachelor's Degree in Electrical Engineering at Higher Institute of Technological Studies of Rades
January 1, 2018 - August 22, 2025

Qualifications

IBM Data Science Professional Certificate
January 11, 2030 - August 22, 2025
Natural Language Processing Certificate
January 11, 2030 - August 22, 2025

Industry Experience

Software & Internet, Financial Services, Manufacturing, Education, Healthcare

Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate