Ahlem Ammar
@ahlemammar1
Passionate software engineer specializing in AI and machine learning.
What I'm looking for
I am a passionate and 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, such as intelligent assistants and data analysis pipelines. I am adept in various frameworks including TensorFlow, PyTorch, and Hugging Face, and I thrive in collaborative, impact-driven environments.
Currently, I work as a Data Scientist at VIVIA Clinical Network, where I am developing an agentic AI system capable of autonomous task planning. My role involves designing chatbots and implementing custom tools for web scraping and document analysis. I have also gained valuable experience as a Machine Learning Engineer Intern, where I developed intelligent decision-support modules and recommendation systems, applying machine learning techniques to optimize business strategies.
Experience
Work history, roles, and key accomplishments
Data Scientist
VIVIAClinical Network
Aug 2024 - Present (1 year)
Built an agentic AI system for 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 (11 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.
DevOps Engineer
VIVIAClinical Network
Jul 2023 - Present (2 years 1 month)
Designed and implemented a scalable, cost-effective CI/CD pipeline architecture to streamline the software delivery lifecycle. Integrated cutting-edge DevOps tools such as Docker, Jenkins, GitLab CI/CD, and Kubernetes to meet the needs of both the startup team and external clients.
Machine Learning Engineer Intern
VIVIAClinical Network
Jul 2023 - Present (2 years 1 month)
Developed an intelligent decision-support module for transportation business owners, providing demand-based pricing forecasts using time series forecasting and machine learning techniques. Integrated NLP technologies to create a domain-specific intelligent assistant capable of understanding and responding to user inquiries.
Machine Learning Engineer Intern
Codact Solution
Jun 2023 - Present (2 years 2 months)
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 2 months)
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
University Adjunct Professor, Computer Science
2024 - 2025
Taught preparatory cycle Math-Physics-Computer science. Delivered engaging lectures and hands-on assignments covering programming paradigms including imperative, procedural, object-oriented, and functional programming.
Higher Institute of Applied Sciences and Technology
Software Engineering, Software Engineering
2021 - 2024
Graduated with a strong foundation in artificial intelligence, machine learning, and software development. Experienced in building and integrating AI models into real-world applications, including intelligent assistants, data analysis pipelines, and NLP systems.
Higher Institute of Applied Sciences and Technology
Preparatory Cycle, Math-Physics-Computer Science
2019 - 2021
Studied foundational and advanced software development principles, emphasizing clean code, modular design, and algorithmic thinking. Mentored students in applying programming concepts to real-world problems, fostering critical thinking and technical growth.
Tech stack
Software and tools used professionally
Snowflake
Selenium
GitHub
GitLab
SonarQube
Kubernetes
Docker Compose
Jenkins
GitLab CI
Jupyter
NumPy
Pandas
Dask
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Gmail
Node.js
NestJS
Slack
OpenCV
Jira
JavaScript
Python
Logstash
ELK
TensorFlow
PyTorch
scikit-learn
Keras
NLTK
Kafka
RabbitMQ
Flask
Grafana
Kibana
SpaCy
GraphQL
Firebase
Elasticsearch
pytest
Git
Docker
Discord
BeautifulSoup
NGINX
Airflow
AutoMLPipeline
Amazon Web Services (AWS)
CUDA
SQL
XGBoost
SciPy
Hugging Face
LightGBM
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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