Firas T.
Machine Learning Engineer
Experience
Machine Learning Engineer
Omdena.com
- Led an Omdena Local Chapter in Tunisia, organizing and managing a team of volunteers to collaborate on social impact projects and mentoring individuals to develop skills in data science and machine learning.
- Developed deep learning models using Python and TensorFlow to detect olive leaf disease with 95% accuracy, helping local farmers cut expenses by 20% through early intervention strategies.
- Developed computer vision models for red blood cell classification to diagnose sickle cell disease that increased predictive accuracy by 25%, utilizing Python, TensorFlow, and OpenCV, and collaborating closely with data scientists and engineers from Benin.
Deep Learning Research Engineer
Intelligent Machines Lab, University of Gabes
- Automated soccer highlight extraction using deep learning and a custom YOLOv7 model fine-tuned with PyTorch, achieving a 90% increase in detection accuracy for key events and reducing video processing time by 90%.
- Developed an image extraction pipeline (Python), a video compression tool (OpenCV, FFMPEG), and a full-stack web app (Django, React) to condense and deliver 90-minute matches into 5-minute summaries, cutting editing time by 80% and enabling real-time access to highlights.
- Drove cross-functional collaboration in a hybrid academic-industry setting, aligning research goals with technical execution to accelerate innovation in sports video analysis.
Summary
AI and Machine Learning expert with over 7 years of experience in developing and deploying cutting-edge deep learning models, AI pipelines, and full-stack ML solutions across domains including medical imaging, agriculture, and multimedia.
Skilled in Computer Vision, Natural Language Processing, and Generative AI, with hands-on expertise in Python, PyTorch, TensorFlow, Keras, OpenCV, and cloud platforms (AWS, Google Cloud, Azure).
Proficient in data preprocessing, feature engineering, model evaluation, hyperparameter tuning, and deploying production-ready AI systems using Docker, Kubernetes, MLflow, and DVC.
Known for building optimized, high-performance AI models, fine-tuning large language models, and delivering scalable, innovative solutions that drive measurable impact and solve complex real-world problems.
Languages
Education
University of Gabes
Master of Automatic Electrical Engineering · Automatic Electrical Engineering · Gabes, Tunisia
Coursework: Artificial Intelligence, Computer Vision, Deep learning, Data Research and Optimization, Probabilities and Statistics, Linear programming, data structures and processing, Signal Processing, Architecture and programming of embedded software systems, robots, neural network applications applications, machine learning learning;
Certifications & licenses
Google Cloud Professional Cloud Architect
Google Cloud Professional Data Engineer
Microsoft Certified: Azure Data Scientist Associate
Microsoft
Generative Adversarial Networks (GANs) Specialization
Coursera
Google Cloud Professional Machine Learning Engineer
Google Cloud Associate Cloud Engineer
Machine Learning Specialization by Stanford University
Coursera
Huawei Certified ICT Associate: Artificial Intelligence
Huawei
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