Saad Tachrimant
Marrakech
Summary
Passionate AI Research Engineer with extensive experience in machine learning algorithm development and innovative software solutions. Demonstrates strong research capabilities through published work on anomaly detection and thermal modeling, with expertise in time series analysis and data preprocessing. Proficient in implementing and evaluating ML algorithms including XGBoost, Autoencoder, and Naive Bayes, while maintaining robust software development skills in Python, Java, and distributed systems. Currently advancing federated learning research with IoT devices to create heterogeneous learning environments. Eager to contribute to cutting-edge research that pushes the boundaries of artificial intelligence and machine learning.
Overview
4
4
years of professional experience
Work History
AI Research Engineer
College of Computing- UM6P
11.2024 - Current
- Implemented and evaluated 4 machine learning algorithms for anomaly detection (XGBoost, Naive Bayes, Autoencoder, Local Outlier Factor) with comprehensive performance analysis
- Co-Authored research paper on anomaly-free dataset creation for thermal modeling using novel mixed imputation techniques for time series data preprocessing
- Participation in the development of peer-to-peer learning framework for heterogeneous IoT environments using Raspberry Pi and mobile devices as distributed computing nodes
Full Stack Developer
ENOAR&T
04.2023 - 11.2024
- Participation in the design and development of a hospital management ERP software based on microservices.
- Development of unit tests.
- Implementation, analysis, and delivery of bug fixes for business applications.
- Management and administration of PostgreSQL database.
- Deployment and monitoring of a Hospital Information System (HIS) across different environments.
- Frameworks and technologies Used: Java EE, Java 8, SpringBoot, Spring Data, Microservices, Spring Security, JWT, REST API, Web Services, Tomcat, Maven, Hibernate, GIT, Gitlab, Jenkins, Postman, Rest Client, PostgreSQL, Scrum, Jira, Docker, Flyway, Angular 8, Angular 2, ngZorro, Bootstrap, TypeScript, CSS, SCSS, JavaScript, HTML5
Full Stack Developer: Freelance
Z Smart Services
08.2021 - 04.2022
- Design and Development of an E-learning Platform.
- Technologies Used: Spring Boot, Java 1, MySQL, PL/SQL, JWT, REST API, Angular 1, Bootstrap, PrimeNG, HTML5, CSS, SCSS
Full Stack Developer: Internship
OCP
04.2021 - 07.2021
- Development of a Data Labeling Platform (Images, texts, Videos).
- Technologies Used: MongoDB, Flask, VueJS
Education
Master of Science - Big Data & Cloud Computing
Ibn Toufail University
Kenitra12-2023
Bachelor of Science - Distributed Information Systems
FST - Caddy Ayad University
Marrakesh, Morocco06-2021
Skills
Programming Languages: Python, Java, TypeScript, JavaScript, SQL
Machine Learning & AI: Anomaly Detection, Time Series Analysis, XGBoost, Autoencoder, Naive Bayes, LOF, Federated Learning
Data Science: Data Preprocessing, Statistical Analysis, Time Series Modeling, Scikit-learn, Pandas, NumPy
Research Skills: Research Methodology, Academic Writing, Algorithm Evaluation, Experimental Design
Systems & Databases: IoT Systems, Raspberry Pi, MongoDB, MySQL, PostgreSQL, Spring Boot
Development Tools: Git, REST APIs, Angular, Bootstrap, Scrum
Hobbies
Swimming, Reading, Outdoor activities
Languages
English
Advanced (C1)
French
Upper intermediate (B2)
Arabic
Bilingual or Proficient (C2)
Timeline
AI Research Engineer
College of Computing- UM6P
11.2024 - Current
Full Stack Developer
ENOAR&T
04.2023 - 11.2024
Full Stack Developer: Freelance
Z Smart Services
08.2021 - 04.2022
Full Stack Developer: Internship
OCP
04.2021 - 07.2021
Master of Science - Big Data & Cloud Computing
Ibn Toufail University
Bachelor of Science - Distributed Information Systems
FST - Caddy Ayad University
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