Ahlem Ammar
@ahlemammar
Passionate software engineering graduate specializing in AI and machine learning.
What I'm looking for
I am a results-driven Software Engineering graduate with a strong foundation in artificial intelligence, machine learning, and software development. My experience includes building and integrating AI models into real-world applications, including intelligent assistants and data analysis pipelines. I am adept in modern AI frameworks such as TensorFlow, PyTorch, and Haystack, and I am eager to contribute to innovative AI solutions in a collaborative and impact-driven environment.
Throughout my career, I have developed a range of skills in programming, automation, and testing. I have designed and implemented scalable CI/CD pipelines and have experience with tools like Docker, Jenkins, and GitLab CI/CD. My internships have allowed me to work on diverse projects, from creating intelligent decision-support modules to developing recommendation systems that enhance user experience in e-commerce.
As an Adjunct Professor, I have delivered engaging lectures and hands-on assignments, mentoring students in programming paradigms and software development principles. I am passionate about fostering critical thinking and technical growth in aspiring engineers, and I am committed to continuous learning and improvement in my own career.
Experience
Work history, roles, and key accomplishments
Data Scientist
VIVIAClinical Network
Aug 2024 - Present (11 months)
Built an agentic AI system capable of autonomous task planning and execution using LLM-based architectures and Retrieval-Augmented Generation (RAG). Designed a chatbot client that interfaces with the AI agent to dynamically retrieve and synthesize contextual information, enhancing user interactions through smart dialogue management.
University Adjunct Professor
Higher Institute of Applied Sciences and Technology
Sep 2024 - Present (10 months)
Delivered engaging lectures and hands-on assignments covering programming paradigms including imperative, procedural, object-oriented, and functional programming. Taught foundational and advanced software development principles, emphasizing clean code, modular design, and algorithmic thinking.
Machine Learning Engineer Intern
VIVIAClinical Network
Jul 2023 - Present (2 years)
Developed an intelligent decision-support module for transportation business owners, providing demand-based pricing forecasts using time series forecasting and machine learning techniques. Built predictive models to analyze business-related data and optimize pricing strategies based on demand fluctuations and historical trends.
DevOps Engineer
VIVIAClinical Network
Jul 2023 - Present (2 years)
Designed and implemented a scalable, cost-effective CI/CD pipeline architecture to streamline the software delivery lifecycle. Integrated cutting-edge DevOps tools like Docker, Jenkins, and Kubernetes to meet the needs of both the startup team and external clients.
Machine Learning Engineer Intern
Codact Solution
Jun 2023 - Present (2 years 1 month)
Developed an outfit recommendation system integrated into an e-shopping mall platform, enhancing user experience and personalization. Built a pipeline to detect and extract clothing items from input images using computer vision techniques like CNNs and OpenCV.
Web Developer
TechInventors
Jun 2022 - Present (3 years 1 month)
Designed and developed a full-stack event management platform using Node.js and NestJS for the backend, and HTML, CSS, and JavaScript for the frontend. Implemented key features such as event creation, registration management, and user authentication.
Education
Degrees, certifications, and relevant coursework
Higher Institute of Applied Sciences and Technology
Software Engineering, Software Engineering
Graduated with a strong foundation in artificial intelligence, machine learning, and software development. Gained expertise in building and integrating AI models into real-world applications. Proficient in modern AI frameworks such as TensorFlow, PyTorch, and Haystack.
Higher Institute of Applied Sciences and Technology
Preparatory Cycle, Computer Science
Completed foundational studies in computer science and engineering principles. Developed core analytical and problem-solving skills essential for advanced technical studies. Prepared for specialized higher education in software engineering.
Tech stack
Software and tools used professionally
GitHub
GitLab
SonarQube
Kubernetes
Docker Compose
Jenkins
GitLab CI
Jupyter
NumPy
MySQL
PostgreSQL
Gmail
Node.js
Next.js
NestJS
Slack
OpenCV
Redis
Terraform
Jira
JavaScript
Python
HTML5
TensorFlow
PyTorch
scikit-learn
Keras
Kafka
RabbitMQ
Flask
ExpressJS
Linux
GraphQL
Elasticsearch
pytest
Git
Docker
NGINX
Amazon Web Services (AWS)
SQL
SciPy
Hugging Face
Availability
Location
Social media
Job categories
Skills
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