đź‘‹ Hi, I’m Tarak Dhieb — a Computer Science Engineer and results-driven developer with a strong passion for machine learning, deep learning, and computer vision. I specialize in building intelligent systems that solve real-world problems, from predictive modeling to front-end web development.
đź‘‹My Portfolio:Â Portfolio
đź’ˇ What I Do Best:
Machine Learning & Deep Learning: Skilled in building accurate prediction models, including LSTM-based forecasting and NLP applications. Computer Vision: Experienced with real-time CV solutions using OpenCV, YOLO, and Jetson Nano.
Web Development: Creating responsive and dynamic user interfaces.
MLOps & LLM Integration: Hands-on experience deploying ML pipelines with Kubeflow and integrating LLMs using Ollama.
🔧 Technical Skills: Python, TensorFlow, OpenCV, YOLO, Flask Angular, Web Development Kubernetes, Docker, AKS MongoDB, Cloud Services
đź› Real-World Experience: Developed a web-based MLOps pipeline for LLM chat applications using Kubeflow and Ollama. Created a smart parking system (SpotWise) with computer vision to reduce congestion in malls. Built a sign language translator app for bridging the gap between deaf and hearing individuals. Participated in ML competitions and developed time-series models for cryptocurrency forecasting.
🌟 Why Work With Me: Proven track record of delivering ML-powered solutions. Strong blend of AI expertise and front-end development. Actively involved in up-to-date, high-impact tech projects. Committed to clean code, timely delivery, and clear communication.
✅ Ready to bring your project to life? Let’s connect and explore how I can help you achieve your goals with smart, scalable solutions.
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