Hire the Best Artificial Intelligence Engineers
in Tunisia

Hi, I'm Mostafa. If you have a problem that's stuck, and you've already tried hiring specialists who couldn't solve it, message me and I'll send back a personalized Loom walking through your specific problem: -Whether it's actually possible -what the architecture would look like -what you should build versus what you think you need. No template, no generic pitch, no strings attached. What I do: I'm a cross-domain systems architect. I build production-grade systems that ship and that companies run their operations on, not demos, not proof-of-concepts that die after the pilot. Over the past decade I've delivered across defense, industrial automation, medical devices, fintech, edge ML, and blockchain, solving problems specialists called "theoretically possible" but couldn't execute, because the problem didn't fit inside one discipline. The pattern I keep seeing: Companies hire a data scientist and get analysis, no system. A consultant, and get a PDF, no infrastructure. A developer, and get code that works once and can't scale. An academic, and get theory with no production path. Then they hire me, and the problem gets solved not studied. If you're stuck on one of these, I've built the fix before: "Our systems don't talk to each other, everything is manual." → I build the integration layers and APIs that make information flow. "We need to prove this works before we invest." → I build the proof-of-concept infrastructure that becomes your technical validation. "We have data but can't turn it into decisions fast enough." → I build the real-time and automated decision systems that close that gap. "We want to use AI/ML but don't know if it'll work for our case." → I assess feasibility honestly, prototype, and deploy production systems — not experiments. "We have an idea but don't know if it's even buildable." → I give you architectural clarity, cost estimates, and a real roadmap. Recent results +Defense: A speech-to-command system for a tactical UAS. The previous contractor's model worked in a quiet lab; mine works in the field. 95.7% accuracy at 22ms inference, fully offline on a low-cost edge board, with noise handling built for rotor wash, wind, and radio interference. +Industrial: Adaptive PID control for a 250-ton hydraulic top drive on a remote drill site. The hard part wasn't the algorithm, it was 180ms latency over a VPN to a GE PLC. Delivered as a production service under industrial safety standards. +Research: Compressed six months of manual analysis into a 10-minute automated workflow, now used for grant proposals. What a client said "I was looking for an answer to a question no one would take seriously. Mostafa not only designed a rigorous statistical model but built me a web tool that made my research a hundred times easier. In a few months, I made more progress than I had in years of chipping away at it alone." What makes me different: I'm not locked into one domain, I solve problems by recognizing the structural patterns that connect them. A defense team whose model fails outside the lab, a manufacturer with broken supply-chain visibility, a trading firm that can't scale its strategy, a researcher drowning in manual processing.. Underneath, they're the same problem: -Information flow is broken -decisions are manual -systems don't talk I fix that, permanently. A fit if you're tired of consultants who don't build, need to know whether something is possible before spending, or have a complex problem that doesn't fit one specialist's box and want a system that scales. Not a fit if you just need basic analysis or a simple CRUD app, want advice with no implementation, or are shopping purely on price. To start: message me with what you're stuck on, and I'll reply with a Loom on how I'd actually approach it.

Hello, I’m Cherif ⚡ AI Engineer. Problem breaker. System builder. 6+ Years of Experience | 250+ Projects Delivered Worldwide I don’t just build AI models, I build AI systems that do the work. If you need agents that take actions, automation that replaces manual processes, or an AI product that actually scales beyond a demo… you’re in the right place. What I do: I design and engineer AI agents that pull data, process it, make decisions, trigger workflows, and integrate smoothly into your business. From idea → architecture → production-ready system, I handle the full journey. What I can: If it can be automated, optimized, or transformed with AI, I’ll build it. Clean. Scalable. Maintainable. No messy hacks. No fragile prototypes. How I work: I break complex problems into small solvable pieces. I engineer each piece with clarity. Then I plug everything into one coherent AI system that just works. Simple in appearance. Powerful underneath. I’ve worked with startups, individuals, and companies worldwide, delivering high-impact AI solutions across different industries. I focus on results, not noise. My schedule is usually packed, but when I commit to a project, I prioritize it and deliver with precision. If you want AI that actually moves the needle, not just looks good in a demo, let’s build it.

Greetings! I'm Salah Sammari, a dedicated Data Scientist with a focus on Natural Language Processing. Having accumulated over two years of hands-on experience in the realm of AI and machine learning, I'm reaching out to offer my expertise for your AI-driven endeavors. Professional Snapshot: My journey began with a solid foundation in Computer Science Engineering from the Higher School of Engineers Esprims in Tunisia. Over the past two years, I've been privileged to work with distinguished organizations such as DNEXT Intelligence SA and UBIAI. In these roles, I've not only implemented advanced NLP solutions but also successfully navigated challenges in trading platform optimization and extended data science training to budding enthusiasts. Core Competencies: NLP & Machine Learning: Expertise in various techniques ranging from sentiment analysis, topic modeling to Named Entity Recognition (NER). I've extensively worked with transformer models such as GPT, BERT, and LayoutLM. Programming & Tools: Proficient in Python and SQL (Postgres) with a keen understanding of data science libraries like Pandas-Numpy, Matplotlib-Seaborn, and Scikit-learn. My skill set also includes cloud platforms like AWS and Snowflake. Project Highlights: From developing AI-driven solutions for content filtering and recommendation engines to building transformer-based chatbots and leveraging OCR techniques, I've overseen multiple projects that required innovative problem-solving and rigorous model fine-tuning. Collaboration & Training: My cross-functional collaboration experience ensures smooth project executions. Additionally, as a Data Science Trainer at Ruspina Training Center, I've mentored over 150 students in Python, machine learning, and NLP. What Drives Me: I thrive on challenges and continually seek opportunities to apply my skills in diverse scenarios. My rank as a Kaggle Master, standing in the top 1%, speaks volumes about my passion for pushing the boundaries of what AI can achieve. The blend of rigorous academia, practical applications, and my incessant drive to learn has shaped my holistic approach to problem-solving.

🚀 I build fast, I build beautiful, and I build production-ready. I’m a Full-Stack Engineer passionate about crafting performant web and AI-driven applications that actually work - not just look good. From designing multi-cloud chatbots that manage your infrastracture to developing real-time analytics dashboards and Flutter mobile apps, I focus on delivering scalable, modern, and responsive experiences. My workflow is fast, structured, and built for results. Portfolio showcase below ⬇️ or visit hamrouni.dev for live projects. Let’s build something that works beautifully and performs even better. The sit-down version --------- ⚡ I move fast — not recklessly, but efficiently. My goal is to take your idea, understand its essence, and bring it to life with clean code, strong architecture, and AI-enhanced features that make it stand out. Whether it’s a chatbot that understands natural language or a web platform that handles hundreds of users seamlessly, I make sure it’s ready for production. 🧠 I’ve built: GitHub Analyzer – AI-powered tool analyzing repositories for code quality and developer metrics. Move2Cloud Chatbot – a multi-cloud management AI web app integrating LLMs and NLP to control resources across AWS, Azure & GCP, basically your AI platform engineer companion. StageHub – platform automating the internship process for over 500 submissions. Mobile Apps – from blogging platforms to invoice management systems using Flutter, Laravel, and Firebase. 💡 What sets me apart? I merge fast execution with AI-driven innovation. I’m equally comfortable shipping a prototype overnight or refining a production system with scalable architecture and performance tracking. ✅ Let’s collaborate if you value clarity, speed, and modern AI-powered solutions. When I build for you, it’s not just functional — it’s future-ready.

I build production-ready LLM systems and agentic AI pipelines that automate complex workflows. Top Rated on Upwork | 20+ projects in multi-agent AI, generative models & data engineering with PyTorch. Clients come to me when they need AI systems that actually ship — not prototypes. Whether it's a multi-agent orchestration layer, a custom RAG pipeline, a diffusion model for audio/image generation, or a data engineering workflow at scale, I handle the full cycle from architecture to deployment. What I work on: → Agentic AI & Multi-Agent Systems (LangChain, LangGraph, Groq, tool-use agents) → LLM Integration & RAG (retrieval pipelines, fine-tuning, prompt engineering) → Generative AI — Audio & Image (diffusion models, voice synthesis, latent space modeling) → ML Model Development (PyTorch, TensorFlow, classification, NLP, CV) → Data Engineering & Pipelines (PySpark, AWS SageMaker, ETL, 100GB+ datasets) Recent work includes a 7-layer multi-agent data processing engine, a latent diffusion model for synthetic medical audio generation (reduced FAD from 18.82 → 14.71), and a natural language chatbot interface for Grafana dashboards. I communicate clearly, deliver on time, and document everything. I don't disappear mid-project and I don't overpromise scope. If something's not feasible, I'll tell you upfront. If you're building something serious in AI — let's talk. Send me a message and I'll usually reply within a few hours.

AI/ML Engineer specializing in Data Science, Machine Learning, Deep Learning, Data Analytics. 🌍 Available across US, Canada, France, Australia, Middle East 📚 Publications: @Bechir Ben Tekfa, et al., DEXA 2025: Advanced Defect Detection in Industrial Imaging @Bechir Ben Tekfa, et al., KES 2025: Hybrid AI Systems for Renewable Energy Inspection ⏱️ 300+ billed hours delivering multi-domain AI & ML systems I design, implement, and deploy intelligent systems across multiple domains: computer vision, LLMs, time-series, audio, graph-based reasoning, and AI-driven automation. My focus is on real-world constraints, building robust, scalable, multi-modal systems that solve complex problems at once. 🧪 Core Expertise & Research Domains 1️⃣ Computer Vision & Visual Intelligence • Defect detection, anomaly localization, and automated inspection • Multi-modal inputs (EL, IR, RGB) with noise, bias, and real-world variability • Object detection, segmentation, hybrid CNN-attention architectures • Weakly supervised, long-tail, and low-data regimes • Multi-scale feature fusion, interpretability, and error analysis • Deployment-aware models for real-time, edge, and constrained devices 2️⃣ Machine Learning Foundations • Supervised, semi-supervised, self-supervised, representation learning • Time-series modeling, anomaly detection, forecasting • Graph-based learning, relational reasoning, and knowledge graphs • Mathematical rigor: optimization, regularization, uncertainty, generalization • Classical ML + deep learning hybrids for structured and unstructured data 3️⃣ LLMs & Reasoning Systems • Multi-step reasoning and orchestration pipelines • Retrieval-Augmented Generation (RAG) for domain-specific knowledge • AI agents for decision-making, planning, and automation • Reliability, hallucination control, evaluation, and system boundaries 4️⃣ Audio & Signal Processing • Speech-to-Text (STT) and Text-to-Speech (TTS) integration • Spectral, temporal, and multi-modal embeddings • Cross-modal pipelines (audio + vision + text) 5️⃣ AI-Driven Automation & Orchestration • Web scraping and data collection (Selenium, Scrapy, BeautifulSoup) • Workflow automation and orchestration (n8n, Twilio, Zapier-like pipelines) • Automated labeling, ETL workflows, ML pipeline orchestration • Continuous data ingestion and pre-processing for multi-domain AI systems • CI/CD, experiment tracking, reproducibility, and monitoring 6️⃣ Edge AI & Deployment Systems • NVIDIA Jetson and resource-constrained inference • Model optimization: pruning, quantization, TensorRT, ONNX • Dockerized deployments for reproducibility and scalability • Latency, memory, and energy trade-off analysis 🧰 Technical Stack AI / ML: Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API Computer Vision & Signals: CNNs, Detection, Segmentation, Spectral Features LLMs & Automation: RAG, Agents, Orchestration, Evaluation Pipelines Data & Systems: Pandas, NumPy, SQL, PySpark, ETL pipelines Automation & Integration: Selenium, Scrapy, BeautifulSoup, n8n, Twilio Deployment & MLOps: Docker, ONNX, TensorRT, Jetson, CI/CD pipelines