ABDELMALEK
CHENINI.
AI & Data Science engineer with hands-on ML experience across a dozen freelance domains — from molecular toxicity to Alzheimer's care. I train models, wire pipelines, ship the apps around them, and keep one eye on the quantum future.
About the operator
I'm a junior AI & data science engineer from Constantine, Algeria — a freshly graduated Master's student who has spent the last three years turning messy, real-world problems into models that ship. I care as much about the pipeline and the app around a model as the model itself.
I've delivered deep and machine learning solutions to 10+ freelance clients across psychology, smart farming, civil engineering, education and health, led a 30-strong university AI club, and now teach an AI masterclass. My Master's thesis pushes into quantum machine learning — and that's where I keep looking next.
Selected work
TReGX — Quantum Molecular Toxicity
A hybrid classical–quantum multimodal system predicting molecular toxicity (LD50).
Alza — Alzheimer's AI Companion
A multimodal agentic assistant for Alzheimer's patients and their caregivers.
Skinify — Skin Cancer Detection
A CNN melanoma screener paired with a cross-platform awareness app.
Nexo — Forecasting & Ops Optimization
Five years of pizza data turned into order, ingredient and staffing forecasts.
NTICian — Faculty RAG Study Tutor
A retrieval-augmented CS tutor grounded in the faculty's own courses.
Muzaif — Arabic Fake-News Detector
Deep-learning misinformation detection for Arabic — MSA, Darija and Arabizi.
Field experience
- ▸Delivered deep/machine-learning solutions to 10+ clients across psychology, smart farming, civil engineering, education and health.
- ▸Shipped end-to-end products — several projects included the web or mobile app wrapped around the model.
- ▸Worked hands-on with supervised, unsupervised and reinforcement learning, LLMs, RAG agents, agentic AI and multi-modal systems.
My main track since 2023 — translating messy, real-world problems from very different domains into models that actually ship, often alongside the interface that puts them in users' hands.
- ▸Built demand forecasting and simulation for orders, ingredients and staffing.
- ▸Ran data analysis and smart performance monitoring across the operation.
- ▸Added image-classification tooling to the production workflow.
- ▸Teach an AI masterclass covering supervised and unsupervised ML and an introduction to deep learning.
- ▸Run occasional workshops on a range of AI and data topics.
- ▸Led a team of 30+ to organise events, workshops, bootcamps, stands and competitions.
- ▸Covered AI, web development and business intelligence; mentored junior members.
- ▸Presented several hands-on workshops, including an intro to building a first ML model.