Hi, I'm Zakaria
I am Engineer
Synergizing Machine Learning & Generative AI with various domains
including cybersecurity and quantum computing.
About Me
My introduction
Hey there,👋 I'm Zakaria Laabsi, specialized in generative AI and machine learning with a keen interest in quantum computing. Backed by a strong foundation in applied mathematics, I've delved into the nexus of ML and quantum tech. Recently, I highlighted "Data Poisoning" at the S3C cybersecurity conference. My goal : synergizing generative AI with various domains including cybersecurity and quantum computing.
Skills
My Technical SkillsLanguages
Languages that I have picked up over the yearsPython
R
SQL
C++
CUDA
Numba
Frameworks
Frameworks that I prefer to work withPyTorch
TensorFlow
Streamlit
LangChain
LlamaIndex
FastAPI
Tools
Tools that I know and use on a daily basisGit
OpenAI API (GPT-4, GPT-3.5)
Azure, AWS & GCP
Jenkins
Ansible
WandB
Hugging Face
Weaviate
Qualifications
My Educational Qualification & Work ExperienceDouble Master's Degree in Data Science & Statistics / Risk Management
University of Montpellier/ Institute of Business AdministrationMaster thesis: Simulation of Time-Dependent Covariables via a Weibull Distribution
Bachelor's Degree in Mathematics
National University Institute Jean-Francois ChampollionBachelor thesis: Impartial Combinatorial Game Theory
Data Engineer - Supply Chain, Logistics, Sales & AI
Acelys Services Numériques · CDIMontpellier, Occitanie, France
BI & Data Engineer
Crédit Agricole Technologies et Services · StageMontpellier, Occitanie, France
Data Scientist Volunteer
Data for GoodProjects
Most recent work
GenieFront : Generative Vision for Front-End Development
Transforming visual web designs into live sites using Azure, Keras-OCR, & GPT-4. Bridging design and development seamlessly.
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SIMBAD : Growth Marketing with AI Agents
A fusion of AI agents and the AARRR framework, pushing the frontiers of Growth Marketing
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AI English Tutor
AI English Tutor is an innovative application that aims to bolster English proficiency through interactive dialogues, correction prompts, and real-time feedback.
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Adversarial Backdoor Attack + Defence
A poisonous CNN model to demonstrate the vulnerability of AI, highlighting the critical need for robust models. Presented at a French cybersecurity convention.
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Quantum Gradient Descent
Training quantum circuit-based models using gradient based methods with Qiskit
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