Firas Tlili — AI Researcher

👋 Hi! I'm an AI, Machine Learning, and Data Science expert with over 5 years of hands-on experience developing cutting-edge deep learning models and AI-driven solutions. With a strong academic background and extensive practical experience, I specialize in Computer Vision, Neural Networks, and Real-Time AI Applications. Whether it’s deploying AI models in the cloud 🌩️, building custom ML pipelines 🔧, or optimizing solutions for industry challenges, I’m here to bring innovation and expertise to your projects. 🎯 𝐌𝐲 𝐦𝐚𝐢𝐧 𝐬𝐤𝐢𝐥𝐥𝐬: ・Artificial Intelligence (AI) & Machine Learning (ML) algorithms ・Deep Learning (TensorFlow, Keras, PyTorch) ・Natural Language Processing (NLP) ・Computer Vision (OpenCV, YOLO, Detectron) ・Reinforcement Learning ・AI model deployment (Docker, Kubernetes, Flask, FastAPI) ・Data Preprocessing (Pandas, NumPy, Scikit-learn) ・Model Evaluation & Hyperparameter Tuning ・Python (NumPy, SciPy, Matplotlib) ・Data Visualization (Matplotlib, Seaborn, Plotly) ・Big Data Technologies (Hadoop, Spark) ・AI Ethics and Responsible AI ・Cloud AI services (AWS, Google Cloud, Azure) ・Generative AI models (GPT, GANs) ・AI for Predictive Analytics & Decision Making ・Speech-to-Text, Text-to-Speech Systems ・Building AI-based chatbots and virtual assistants ・AI model version control and experiment tracking (MLflow, DVC) ・Deployment & Monitoring of AI models in production environments Strengths: • 🧠 Deep Learning & Computer Vision: Expertise in building and deploying advanced models (CNNs, RNNs, Transformers) for image classification, object detection, and video analysis. • 🤖 AI & ML Expertise: Skilled in developing custom ML pipelines, fine-tuning models, and working with diverse datasets across domains like agriculture 🌱, medical imaging 🏥, and media 🎥. • 📊 Data Science & Modeling: Strong capabilities in exploratory data analysis, feature engineering, predictive modeling, and optimization. • 💻 Technical Proficiency: Extensive experience with Python, PyTorch, TensorFlow, Keras, OpenCV, and cloud platforms like AWS and Google Cloud. • 🚀 Cloud & MLOps: Skilled in deploying AI models in production using Docker, Kubernetes, GitLab CI/CD, and cloud solutions for scalable AI applications. Why Hire Me? • 🎯 Results-oriented: Focused on building optimized, high-performance AI solutions that deliver measurable results and improve business outcomes. • 🛠️ Innovative Problem Solver: I craft tailored AI solutions that meet your specific business needs, whether it’s object detection, predictive modeling, or process automation with AI.

Stackforce AI infers this person is a skilled AI and Machine Learning engineer specializing in healthcare and agriculture solutions.

Location: Grand Tunis, Tunisia

Experience: 4 yrs 1 mo

Skills

Deep Learning
Computer Vision

Career Highlights

Expert in deep learning and computer vision.
Proven track record in AI model deployment.
Innovative problem solver with measurable results.

Work Experience

Omdena

Machine Learning Engineer (3 yrs 2 mos)

National Engineering School of Gabes

Deep Learning Engineer (11 mos)

Education

National Engineering Degree at National Engineering School of Gabes

Associate's degree at Preparatory Institute For Engineering Studies of Gafsa

High School Diploma at Houcine Bouzayen High School

Firas Tlili

AI Researcher

Grand Tunis, Tunisia4 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in deep learning and computer vision.
Proven track record in AI model deployment.
Innovative problem solver with measurable results.

Stackforce AI infers this person is a skilled AI and Machine Learning engineer specializing in healthcare and agriculture solutions.

Contact

Skills

Core Skills

Deep LearningComputer Vision

Other Skills

PythonTensorFlowOpenCVData ScienceMachine LearningDjangoVideo ProcessingArtificial Intelligence (AI)Machine Learning AlgorithmsNatural Language Processing (NLP)Reinforcement LearningAI model deploymentData PreprocessingModel Evaluation & Hyperparameter TuningData Visualization

About

Experience

Omdena

Machine Learning Engineer

Jan 2023 – Present · 3 yrs 2 mos · Gafsa, Tunisia · Remote

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.
Initiated and managed ML project lifecycles end-to-end — from problem scoping and dataset creation to deployment — applying Agile methodologies in a fully remote setting.
Conducted rigorous error analysis, feature engineering, and hyperparameter tuning, achieving an additional 10–15% boost in model accuracy across projects.

Deep LearningComputer VisionPythonTensorFlowOpenCVData Science+1

National engineering school of gabes

Deep Learning Engineer

Jan 2022 – Dec 2022 · 11 mos · Gabès, Tunisia · Hybrid

Automated soccer highlight extraction using deep learning and computer vision, achieving a 90% reduction in processing time and significantly improving video summarization efficiency.
Engineered an image extraction pipeline in Python, increasing dataset creation efficiency by 40% and accelerating model training for soccer video analysis.
Optimized object detection models by fine-tuning YOLOv7 with PyTorch, boosting detection accuracy by 90% for key soccer events like goals, fouls, and offside calls.
Developed a video compression tool using Python, OpenCV, and FFMPEG to condense full matches (90 min) into 5-minute summaries, reducing editing time by 80%.
Deployed models via a full-stack web app built with Django, React, HTML5, CSS3, and JavaScript, enabling real-time access to auto-generated match highlights.
Collaborated in a hybrid academic-industry setting, ensuring alignment between research goals and technical implementation.

Deep LearningComputer VisionPythonOpenCVDjangoVideo Processing