Moustaquim Younes

Data Scientist & AI Engineer

Master's student in Data Science & Analytics with expertise in machine learning, deep learning, and building intelligent systems. Passionate about applying AI to solve complex, data-driven problems.

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About Me

Moustaquim Younes

Data Science & AI Specialist

I'm a Data Science & Analytics Master's student with a strong background in software engineering, machine learning, deep learning, distributed AI, and knowledge representation. Experienced in fine-tuning LLMs, building intelligent systems, and developing scalable software solutions.

My passion lies in applying AI to solve complex, data-driven problems efficiently and creatively. I'm constantly exploring new technologies and methodologies to expand my expertise in the AI field.

Machine Learning Deep Learning LLM Fine-Tuning Natural Language Processing Distributed AI

Education

2024 - Present

Master's Degree in Data Science & Analytics

Université Cadi Ayyad, Faculté Polydisciplinaire Safi

Relevant Coursework: Machine Learning, Deep Learning, Generative AI, Distributed AI, Big Data (Spark, Hadoop), NLP, Speech Processing, Advanced Multimedia Processing, Graph Algorithms, Semantic Web (SWRL, SPARQL), Knowledge Representation.

2023 - 2024

Professional Bachelor's Degree in Computer Systems Engineering & Web Technology

EST SB, Sidi Bennour

Graduated with Honors

2021 - 2023

University Technology Diploma in Computer Engineering

EST SB, Sidi Bennour

Graduated with Honors

2022

Baccalaureate in Physics & Chemistry

SB High School, Sidi Bennour

Graduated with Honors

Technical Skills

AI & Machine Learning

Machine Learning Deep Learning Generative AI LLM Fine-Tuning NLP Speech Processing Distributed AI Federated Learning Graph Algorithms AI Algorithms

Programming

Python (NumPy, Pandas, Scikit-learn) PyTorch TensorFlow Java C/C++ TypeScript JavaScript PHP Prolog (SWRL) SPARQL

Big Data & Databases

Apache Spark Hadoop MySQL MongoDB PL/SQL OWL Ontology Modeling

Web Development

Angular React Node.js Express.js Firebase HTML/CSS

AI & Data Science Projects

Fine-Tuning LLaMA for Journalism Assistance

Developed a fine-tuned LLaMA model that generates article angles and writing ideas to support journalists. Included dataset preparation, prompt engineering, model training, and evaluation.

Performance Profiling of OpenDVC Framework

Performed deep analysis and profiling of the OpenDVC video compression framework to identify computational bottlenecks in compute, memory, and GPU usage.

ASR Fine-Tuning for Laughter Detection Token

Investigated whether ASR models can detect laughter and output a dedicated token without harming transcription accuracy. Designed a custom dataset and fine-tuning pipeline.

Federated Learning for Recyclable Object Detection

Built a distributed federated learning system to classify recyclable vs. non-recyclable materials, implementing multi-client training, aggregation, and evaluation.

Ontology for Moroccan Traditional Crafts

Designed an OWL ontology to represent Moroccan artisanal crafts. Implemented semantic queries using SPARQL and SWRL rules for advanced inference and knowledge modeling.

Professional Experience

Apr 2024 - May 2024

Software Engineering Intern

OCP Group, El Jadida

Designed and developed a social networking platform using modern full-stack technologies.

Apr 2023 - Jun 2023

Software Engineering Intern

OCP Group, El Jadida

Created a responsive web store for product management and customer order workflows.

Jul 2022 - Aug 2022

Software Engineering Intern

OCP Group, El Jadida

Developed two desktop applications to automate mission expense calculations and employee day-off tracking.

Languages & Strengths

Languages

Arabic

Native

English

Full Professional Proficiency

French

Professional Proficiency

Additional Strengths

Problem-solving

Analytical approach to breaking down complex issues

Research-oriented thinking

Systematic investigation and analysis

Analytical mindset

Data-driven decision making and pattern recognition

Debugging

Identifying and resolving technical issues efficiently

Fast learner

Quickly adapting to new technologies and methodologies

Clear communication

Articulating complex concepts in understandable terms