Hire the Best Computer Vision Engineers
in Tunisia

I'm a backend engineer and full stack developer with 3+ years of experience building scalable web applications, automation systems, and data pipelines using Python. I enjoy working on projects that involve backend architecture, APIs, automation, ETL workflows, and AI-powered solutions. I’ve worked on everything from backend APIs and web platforms to browser automation, data extraction, and machine learning integrations. My focus is on building reliable, maintainable systems that solve real problems and scale properly in production. Core Expertise : ✅ Backend Development Building APIs and backend services using Flask, FastAPI, Django, and Node.js. ✅ Full Stack Development Developing responsive web applications with modern frontend and backend technologies. ✅ ETL & Data Engineering Designing data pipelines, processing large datasets, SQL optimization, and workflow automation. ✅ Automation & Scripting Creating automation solutions for repetitive tasks, browser workflows, and business processes using Selenium and Appium. ✅ Web Scraping & Data Processing Extracting, cleaning, and transforming large amounts of structured and unstructured data. ✅ AI / LLM Integrations Working with AI-powered applications, LLM integrations, image classification, object detection, and intelligent automation systems. ✅ API Integration Integrating third-party services, REST APIs, authentication systems, and external platforms. I care about writing clean, efficient, and maintainable code with a strong focus on reliability, performance, and scalability.

Senior Computer Vision Engineer specializing in production-ready AI systems. Over the past 5+ years, I have designed, trained, optimized, and deployed computer vision solutions across medical imaging, biotechnology, agriculture, remote sensing, and industrial applications. ✦ Core Specializations ─────────────────────────────────────────── ⚡ Object Detection & Real-Time Inference Custom detection pipelines built on YOLO, RT-DETR, RF-DETR & Detectron2. Single-modal and multi-modal. Optimized for speed, accuracy, and edge deployment — not just benchmark scores. ⚡ Medical & Biotech Image Analysis Classification, segmentation & prediction systems for clinical and research environments. Calibrated outputs, ordinal grading, custom loss functions designed for domain-specific constraints where off-the-shelf fails. ⚡ Multispectral & Aerial Computer Vision RGB, NIR, thermal — cross-modal fusion architectures for remote sensing, livestock monitoring & precision agriculture. Full pipeline ownership from raw sensor calibration to production-ready detection. ⚡ Video Intelligence & Motion Analysis Action recognition, temporal modeling & tracking from video. Real-time inference pipelines containerized and deployed on cloud GPU infrastructure. ✦ Technical Stack ─────────────────────────────────────────── Computer Vision: PyTorch · OpenCV · YOLO · RT-DETR · RF-DETR · Detectron2 · DINOv2 · Vision Transformers · SAM Image Processing: Camera Calibration · ChArUco · ArUco · Chessboard Calibration · Fisheye Calibration · Stereo Calibration · Image Undistortion · Image Rectification · Geometric Vision Machine Learning: Deep Learning · Classification · Segmentation · Tracking · Action Recognition · Pose Estimation · Multi-Modal Learning Deployment & MLOps: FastAPI · Docker · AWS · GCP · ONNX · TensorRT · CI/CD ✦ What to Expect ─────────────────────────────────────────── Requirements Discovery → Solution Design → Structured Milestones → Weekly Demos & Progress Updates → Production-Grade Delivery → Post-Deployment Support → Send a message with project details to get started.

If you're looking for someone who just stitches together APIs, keep scrolling. If you need an engineer who takes a messy real-world problem and hands you a working, deployed solution that sees, understands, and responds in real-time; you've found him. I'm Mohammed, an AI-solutions engineer. I don't sell you a model and walk away; I architect, build, and ship the complete system that solves your problem end to end: the AI, the data pipeline, the infrastructure, and the deployment. Computer vision, natural language processing, RAG, OCR; whatever the problem demands, I engineer the solution around the outcome you actually need, not the buzzword of the week. While others are still wiring up ChatGPT wrappers, my clients are running facial recognition systems, multi-language translation engines, and RAG-powered platforms in production. 🔹 Solutions I Build 🎯 Computer Vision & Facial Recognition Real-time facial recognition that scans and matches faces against large-scale databases; from similarity detection to identity verification. Built with OpenCV, deep learning models, and cloud infrastructure (DigitalOcean, AWS), and deployed as production-ready systems, not demos. 🧠 RAG Systems & Intelligent Platforms Retrieval-Augmented Generation architectures for educational platforms and knowledge systems. Not chatbots; intelligent engines that understand context, retrieve the right information, and generate accurate, grounded answers using vector databases and LLM orchestration. 🗣️ Real-Time NLP & Speech Processing Live speech-to-text and translation systems that convert and translate audio streams into multiple languages simultaneously. Real-time. Production-grade. Scalable. 📄 OCR & Document Intelligence End-to-end pipelines that extract structured data from PDFs, forms, and scanned documents and turn it into clean, usable output (Markdown, JSON, databases). Invoices, contracts, handwritten forms; I build the pipeline that parses, validates, and delivers exactly what you need. 🔧 Tech Stack Languages: Python, Node.js, JavaScript AI & ML: OpenAI API, Anthropic, Hugging Face, LangChain, RAG architectures, scikit-learn Computer Vision: OpenCV, face_recognition, deep learning models NLP & Speech: Whisper, speech recognition APIs, real-time transcription Databases: PostgreSQL, vector databases (Pinecone, Weaviate), DigitalOcean DevOps: Docker, Git, Linux, REST APIs, cloud deployment If you need an engineer who delivers intelligent systems that think, see, and understand; a complete solution, not just a piece of one; let's talk. 📩 Ready to build something exceptional? Let's connect.

With 4+ years of experience, a 100% Job Success Score, and Top Rated Plus status, I build production-ready AI systems, from LLM-powered assistants and RAG pipelines to document extraction engines and Python backends that actually ship. → I've delivered end-to-end AI products for international clients across multiple domains: career assistants with real-time document retrieval, CV analysis and job matching systems, OCR pipelines extracting structured data from PDFs and images, voice-enabled LLM applications with STT/TTS integration, and interactive AI dashboards. Everything containerized with Docker and deployed on production infrastructure. What I bring to your project: ✅ LLM & AI Assistants — OpenAI API, prompt engineering, multi-turn assistants, structured outputs, WebSockets ✅ RAG Systems — document ingestion, vector retrieval, reranking, response generation ✅ OCR & Document Intelligence — PDF/image extraction, Tesseract, PyMuPDF, structured JSON output, batch processing ✅ Python Backends — FastAPI, Django, PostgreSQL, Redis, REST APIs, async processing ✅ Dashboards & Interfaces — Streamlit AI dashboards, CV analysis interfaces, job matching UIs ✅ Voice & Speech — XTTS voice cloning, STT/TTS integration, LLM-to-speech pipelines ✅ Scraping & Automation — Scrapy, Selenium, XPath, proxy systems, structured data pipelines ✅ Deployment — Docker, Docker Compose, Linux VPS, multi-service production setups My background combines hands-on AI engineering — fine-tuned transformer models published on HuggingFace, multimodal deep learning research — with practical product delivery across real client projects. I work equally well independently or embedded within a team, and I take communication and documentation seriously. I don't just prototype, I ship. → Let's talk. Whether you're building an AI product, automating a document workflow, scraping data at scale, or adding voice to your LLM app — send me a message and we'll find the fastest path to a working solution.

I'm a Software Engineer and Bioinformatics MSc student specializing in computational pipelines that make complex biological data usable. Currently available for bioinformatics analysis, ML integration, and scientific data projects. My recent work includes GPU-accelerated molecular dynamics simulations of human telomeric DNA using GROMACS 2024.4 and CUDA 12.2 ,from environment setup to full trajectory analysis and VMD visualization. I work on real hardware with real constraints, not just cloud notebooks. On the AI side, I've deployed production computer vision systems at Enova Robotics and built an LLM-powered real-time translation app with 7,500+ active users using LLaMA, Zephyr, and OpenAI API. My software engineering background means I don't just run tools , I understand the code behind them and build clean, reproducible pipelines around scientific workflows. What I can help you with: - Molecular dynamics simulation (GROMACS, LAMMPS) - Bioinformatics pipelines and NGS data processing - AI and ML integration, fine-tuning, and deployment - Python and R scientific analysis and automation - Computer vision systems and real-time inference If your project lives at the intersection of biology, data, and software : that's where I work.

As a skilled Data Scientist and Machine Learning Engineer, I specialize in applying advanced AI and machine learning techniques to solve complex problems and drive innovation. With a robust background in computer vision, deep learning, and data analysis, I am dedicated to delivering high-impact solutions that enhance decision-making and streamline processes. Key Strengths and Skills: Machine Learning & AI: Proficient in developing and deploying machine learning models using TensorFlow, PyTorch, Keras, and scikit-learn. Experienced in both supervised and unsupervised learning, with a focus on optimizing model performance and ensuring scalability. Computer Vision: Extensive experience in image processing, object detection, and medical imaging. I have developed and implemented AI-driven solutions for analyzing medical images, improving diagnostic accuracy, and automating routine tasks. Data Analysis & Visualization: Skilled in extracting, processing, and analyzing large datasets using SQL, Python (pandas, NumPy), and data visualization tools like Matplotlib and Seaborn. Capable of translating complex data into actionable insights and clear visual representations. Programming Languages: Python, C++, Matlab, and SQL with years of hands-on experience in writing efficient, clean, and maintainable code. Notable Projects & Accomplishments: Medical Imaging: Developed a deep learning framework for cephalometric analysis with an 82% accuracy rate, validated by over 10 dental professionals. Panoramic X-ray Analysis: Enhanced the accuracy of a dental X-ray analysis model to over 90%, facilitating better diagnostic outcomes. Domain Adaptation: Created a source-free domain adaptation solution, improving model accuracy by 10% and reducing processing time compared to traditional methods. Why Choose Me? I am committed to delivering high-quality, data-driven solutions tailored to meet your project needs. Whether you're looking to develop cutting-edge AI models, enhance your data analytics capabilities, or streamline your processes with automation, I bring a results-oriented approach backed by technical expertise and a passion for innovation. Let’s work together to bring your project to life! Feel free to reach out, and let’s discuss how I can help you achieve your goals.