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JS@jimysalem
AI Engineer passionate about solving real-world problems through intelligent systems.
FranceI am an AI Engineer with a strong foundation in Data Engineering and Production Data Science, currently pursuing a Master's in AI Systems at EPITA, Paris. My educational background includes a Bachelor's in Pure Mathematics from the American University of Beirut, where I developed a deep understanding of mathematical concepts essential for AI and machine learning.
During my internship at Astek, I successfully developed AI models that achieved 98.7% accuracy in detecting spoofed audio. I delivered an end-to-end pipeline that included data preprocessing, model training, evaluation, and documentation. My experience as an IT Assistant at UNWFP further honed my technical skills, where I managed IT inventory and supported various tech deployments.
I am passionate about leveraging my skills in AI and machine learning to build scalable architectures and solve real-world challenges. I continuously seek opportunities to enhance my expertise in intelligent systems and contribute to innovative projects.
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Work history, roles, and key accomplishments
Astek
Oct 2024 - Apr 2025 (6 months)
Developed AI models to detect spoofed vs authentic audio using ASVSpoof 2021 dataset. Achieved 98.7% accuracy and 1.2% EER with spectral/temporal embeddings and optimized GPU tasks. Delivered an end-to-end pipeline: preprocessing, training, evaluation, documentation.
UNWFP
Aug 2020 - Apr 2023 (2 years 8 months)
Oversaw IT inventory management, configured/deployed user equipment, and maintained IT gear and NAS solutions. Supported MDM deployment, managed MPOS device lifecycles, and maintained field communication tools. Conducted tech tool training, decommissioned old equipment with secure low-level formatting, and tracked/repaired faulty hardware.
Degrees, certifications, and relevant coursework
ABBachelor, Pure Mathematics
Conducted an in-depth study of mathematics, covering topics from calculus and advanced calculus to Fourier transforms and topology. This provided a strong mathematical foundation for further studies.
EPMaster, IA Systems
The program consisted of three semesters: Introduction to Python, Java, SQL, and Algorithms. It covered classical Machine Learning and AI courses, with hands-on experience in Machine Learning, Computer Vision, and Data Engineering.
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