
Ismail Ahl-Lamara
Skills
Timeline
Professional experience for Ismail Ahl-Lamara
- Current 1 year and 10 months, since Oct 2023
MLOps Engineer Intern - AI & Cloud Services
Infineon Technologies AG, Munich
- 9 months, Jan 2023 - Sep 2023
Master Thesis: Quantum AI Modeling
Infineon Technologies AG, Munich
Explainable AI Modeling for the electronic interface of Quantum computers. Grade: 1.0
- 4 months, Sep 2022 - Dec 2022
Machine Learning Engineer Intern
Infineon Technologies AG, Munich
Project: Detection of Sensor-To-Sensor Variations using Interpretable and Explainable AI. Project: End-to-end ML pipelines for data collection, cleaning, visualization, model optimization, and deployment. Project: Compression-based Early Exiting for Efficient Machine Learning Inference.
- 7 months, Feb 2022 - Aug 2022
MLOps Engineer
Wenn ASA
Developed a highly scalable end-to-end AI software that includes a website, a dockerized micro-services architecture on the back-end orchestrated with Kubernetes, and deployed the software into large-scale production on Cloud environments. The software integrates the Machine Learning life cycle for the detection/classification of car damages for car insurance claims.
- 6 months, Apr 2021 - Sep 2021
Machine Learning Engineer
Nokia Bell Labs
Project ’AI software development for 5G’: Machine Learning/Deep Learning software development for AI based 5G Channel Estimation and Data Synthesis solutions for coverage shortage scenarios.
Educational background for Ismail Ahl-Lamara
- 2 years and 11 months, Nov 2020 - Sep 2023
M.Sc. Communications Engineering & AI
Technische Universität München
Focus: Machine Learning/Deep Learning, MLOps, Computer Vision, Cloud Computing and Statistics. Final GPA: 1.8
- 3 years and 1 month, Aug 2017 - Aug 2020
B.Sc. Electrical and Computer Engineering
Jacobs University Bremen
Member of the President’s List. Final GPA: 1.86
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