Mohanned Kadache
I am a _
This is Mohanned Kadache, an AI and Data Science major with a passion for developing intelligent solutions. Interested in everything related to Artificial Intelligence, Machine and Deep Learning, and Software Development. Committe to continuous learning and aquiring knowledge and skills, and contributing to relevant projects.
Algiers, Algeria
Available for exciting opportunities
About me
Eager to know about me? Read more:
As a data science and AI engineer and a software developer, I have had the opportunity to work on exciting projects that provided me with solid experience. My work involves leveraging AI and data-driven approaches to solve complex problems and develop innovative solutions.
My engineering program at the National Higher School of Artificial Intelligence (ENSIA), specializing in AI and Data Science, has equipped me with the skills and knowledge necessary to conduct and solve real world problems.I have learned about various AI-related topics including Computer Vision, Ethics, Machine and Deep Learning, Statistics, Calculus & Linear Algebra, Software Engineering & Development, Data Structures & Databases, as well as Business and Entrepreneurship.
Qualities?, yes, I am highly organized and believe in maintaining meticulous attention to detail. Passionate for learning and continually striving to expand my knowledge. With excellent time management skills, effective teamwork and dedication, and problem-solving abilities.
Experience
Here are some of my notable recent experiences:
Data Science & AI Engineer Intern
Algérie Poste
- Engineered and developed a AI and web-based platform to streamline manual internship candidate selection processes.
- Utilized AI to eliminate bias in candidates screening for recruiters, and simplify internships discovery for internships seekers.
Sep 2024 - Oct 2024
Machine Learning Engineer Intern
Sarl Think Touch Solution
- Collaborated with the Data Consulting department, working closely with a client to deliver solutions.
- Developed a high-performance and parallelized Inference Engine (Flashed), demonstrating substantial improvements in LLMs inferences.
- Laveraged C/C++ and parallelism libraries for a fast and efficient computational engine.
- Delivered agile solutions in a fast-paced environment, meeting strict timelines.
Jun 2024 - Nov 2024
IT Departemt Manager
Google Developer Student Club ENSIA
- Held the overall leadership of the department, coordinating the efforts of professional team leaders in various subdepartments: data science, web development, mobile development, cybersecurity, and robotics.
- Executed a diverse range of projects, serving different purposes: creating websites and mobile apps for events, conducting educational workshops and practical sessions, and managing club-related activities.
Sep 2024 - Sep 2025
Projects
Some of the noteworthy projects I have worked on:
Day Type Identification of Electricity Load in Algeria
A comprehensive analytical and decisional study of electricity load and behavior in Algeria, specifically in Annaba city. The project aimed to address the challenges posed by unpredictable high demand and inefficient resource allocation. Utilized supervised and unsupervised learning techniques to identify different day types based on load patterns, demands, and temperature. optimizing resource usage and improving the overall efficiency of electricity distribution in the region.
Feature Engineering
Data Preprocessing
Exploratory Data Analysis
Timeseries
XGBoost
K-Means
Islamic Development Bank Finance Assistant
An AI-powered finance assistant tailored for Islamic banking, offering real-time guidance and transaction analysis for Shariah compliance. Built with React and TypeScript, it integrates language models like Together AI and Gemini with specialized backend services.
React
TypeScript
Docker
Flask
LLM Integration
Vector Databases
Together AI
Google Gemini API
Chroma DB
Aurora
A mobile app to enhance English-Arabic translation skills through data-driven learning. Implemented Reinforcement Learning for an adaptive learning system that personalizes exercises based on user progress. Built a parallel corpus labeled by difficulty and text domain for a structured learning content. Using Large Language Models (LLMs), it generates detailed feedback and evaluate learner translations.
NLP
LLM
Flutter
Flask
SatisUniv
A real-time problem management platform for the National Higher School of AI (ENSIA) stakeholders. Implied a complete and efficient problems reporting, solving and communication system, aiming to improve the overall satisfaction within the organization.
Next.js
Typescript
Tailwindcss
Mantine UI
Supabase
Arkive Document Management System
A scalable enterprise-grade document management system with a React frontend and a Spring Boot microservices backend. It supports secure storage, access control, metadata handling, and AI-powered document translation. Built with Kafka, Docker, and Kubernetes for efficient communication, deployment, and orchestration.
React
Spring Boot
Microservices
Kafka
Docker
Kubernetes
AI Translation
MetroPT3 Predictive Maintenance
A comparative analysis and predictive maintenance study using the MatroPT3 timeseries dataset including real time sensors in the metro station. By developing and comparing various Machine and Deep Learning approaches, we offer a robust toolbox for failure prediction and detection.
Anomaly Detection
Feature Selection
Decision Tree
Random Forest
K-NN
Naive Bayes
SVM
ANN
Contact Me
Send me a quick message:
Or reach out manually via:
mohanned.kadache@gmail.com