Mohanned Kadache
I am a _
AI and Data Science engineer specializing in building intelligent systems and robust software. Focused on machine learning, deep learning, and engineering scalable solutions, with a commitment to continuous learning and technical excellence.
Algiers, Algeria
Available for exciting opportunities
About me
I build AI-driven solutions and software, bridging the gap between rigorous data research and high-performance applications. My expertise spans machine learning, deep learning, and engineering scalable architectures.
As an AI and Data Science student at ENSIA, I have cultivated a strong foundation in Computer Vision and NLP. My academic journey is complemented by an interest in the mathematical underpinnings of AI, ensuring that every model I build is efficient and statistically sound.
Beyond technical skills, I am committed to clean code, meticulous documentation, and fostering collaborative environments. I enjoy tackling challenging problems that require both analytical depth and creative thinking.
Experience
Here are some of my notable recent experiences:
R&D and Agentic AI
SQPS (Swiss Quality Personal Staffing)
- Working on Agentic AI and R&D projects.
- Delivering solutions such as AI-driven presentation generators based on verified factual research.
Nov 2025 - Present
Auto-entrepreneur - Software and AI Developer
Spinet NFC
- Working on Software Development and AI projects.
- Primarily focused on frontend development, building responsive and optimized user interfaces.
Sep 2025 - Present
AI Engineer Intern
Qantra
- Developed and optimized RAG (Retrieval-Augmented Generation) systems for a multinational company.
- Conducted R&D to enhance system performance, implementing advanced techniques to improve retrieval accuracy and generation quality.
Aug 2025 - Nov 2025
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 on a high-performance, parallelized Inference Engine (Flashed), significantly improving LLM inference speeds.
- Utilized C++ and parallelism libraries to deliver optimized solutions under strict client timelines.
Jun 2024 - Nov 2024
IT Department Manager
Google Developer Groups On Campus ENSIA
- Led the department, coordinating team efforts across data science, web, mobile, and robotics.
- Managed diverse projects, including event platforms, educational workshops, and club activities.
Sep 2024 - Sep 2025
Projects
Some of the noteworthy projects I have worked on:
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
HikmaQ Assistant
Developed an AI assistant using RAG in collaboration with Hikma Pharma (Algiers) to answer pharmaceutical and safety queries with contextual accuracy. Built a modular platform for efficient chat assistance and low-latency generation.
RAG
LLM
Flask
LangChain
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
Day Type Identification of Electricity Load in Algeria
A study identifying electricity load patterns in Algeria to address unpredictable demand and inefficient resource allocation. Utilized supervised and unsupervised learning (XGBoost, K-Means) to optimize distribution efficiency.
Feature Engineering
Data Preprocessing
Exploratory Data Analysis
Timeseries
XGBoost
K-Means
Contact Me
Send me a quick message:
Or reach out manually via:
mohanned.kadache@gmail.com