Allaeddine Khalid
Backend Engineer specializing in AI & Data, passionate about building LLM-powered applications, Machine Learning, and MLOps 🤖👨💻
⚡ Technologies & Skills
Languages & Frameworks
PythonSQLCC++JavaJavaScriptPHPFastAPI
AI / Data Science Tools
NumpyPandasMatplotlibSeabornScikit-learnPytorchLangChainLangGraph
Container & Cloud
DockerKubernetesK3sVagrantAzureAWS
CI/CD Tools
GitArgo CD
Experience
Wiggli
Backend Engineer - AI & DATA
- Built and operated LLM-powered FastAPI services with multi-tenant auth system, scope-based permission, rate limiting, comprehensive request logging, and asynchronous processing via AWS SQS, powering AI sourcing, candidate matching, and prompt-to-hire workflows that reduce manual recruiter effort by 40–60% across key hiring steps
Dashy
AI Engineer / Data Scientist Intern
- Developed ASR and TTS models by fine-tuning on Moroccan Arabic Dialect (Darija) for chatbot applications
- Conducted full MLOps cycle from development to deployment on Azure and OVH
UM6P - Mohammed VI Polytechnic University
Software Engineer Intern
- Contributed to open source Pyccel software for developing optimized ML applications on embedded systems
Bouygues Construction
Software Engineer Intern
- Built JavaScript/PHP/SQL tool integrated with company intranet via Chrome extension automating ticketing system
- Analyzed ticket content to accurately predict subjects, saving hours of daily manual reporting
PERSONAL PROJECTS
LEAFFLICTION - Deep Learning CNN for Image Classification
Developed a CNN model for disease recognition on plant leaves with accuracy above 90%.
Deep LearningCNNPlantCVData AugmentationPython
- Applied data augmentation techniques to expand training dataset
- Implemented PlantCV preprocessing for leaf image analysis
- Trained a CNN to classify plant leaf diseases with +90% accuracy
DSLR - Logistic Regression For Multiclass Classification
Developed Logistic Regression model using One-vs-Rest strategy achieving 99% accuracy for Hogwarts student classification.
Machine LearningLogistic RegressionData AnalysisPython
- Analyzed and explored the dataset to understand numerical features
- Applied visualization techniques to gain insights
- Developed Logistic Regression model using One-vs-Rest strategy with 99% accuracy
Inception Of Things - Kubernetes and CI/CD
Comprehensive DevOps project focusing on Kubernetes deployment and CI/CD implementation.
K3sK3dArgo CDGitLabHelmVagrant
- Configured K3s/K3d with Vagrant for local Kubernetes clusters
- Set up local GitLab instance using Helm with ingress configuration
- Integrated Argo CD for GitOps-based application deployment
Education
1337 Future Is Loading - Mohammed VI Polytechnic University
Computer Architect / Software Engineer
CompletedEST SAFI
Bachelor in Computer Science
CompletedTechnical College Al Idrissi
Bacalaureat in Electrical Science & Technology
CompletedBlogs
Coming soon...