Hire the Best Artificial Intelligence Engineers
in Tunisia

🚀 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.

Hi, I'm Mostafa (Moe). I build things that work, and I stick around until they do. If any of this sounds like you, I can probably help: "I have an idea and no dev team, and I'm scared of hiring the wrong person." I scope the project clearly before we start, so you know what you're getting and when. No disappearing mid-build, no surprise rewrites, no code that looks done and isn't. You'll always know where things stand. "I have a dev team, I just need someone who can pick up work and not need babysitting." I've shipped 40+ production systems over 11 years. I write code that survives contact with real users, not just a demo. Tell me the problem, I'll tell you honestly if I'm the right fit before we start. "I have a manual process eating hours every week, and I just want it automated." No AI needed for most of this. I build the boring, reliable automation that just works, and keeps working after you've paid the invoice. "Something in our system is broken and nobody on our team can figure out why." This is what I'm best at. The bug is almost never where everyone's been looking. I find the actual cause, not just the obvious suspect. "We want an AI feature, but we've been burned by something that worked in the demo and broke in the real world." I build the whole system around the model carefully, not just the model, so it holds up under real traffic and real users. A few things that are true about working with me: - You talk to me directly. No account manager, no junior doing the work while someone senior sold you the call. - I'll tell you if your idea needs a simpler solution than you think, even if that means a smaller invoice for me. - I've built for defense, medical devices, industrial automation, fintech, and early-stage startups. Different industries, same core skill: making things work in the real world, not just in testing. Recent work: - Speech-to-command system for a military drone, 95.7% accuracy, running fully offline on cheap hardware - Server monitoring platform managing up to 25,000 machines at once - Cut false alarms by 41% on a factory floor system that was crying wolf too often Tell me what you're building or what's broken. I'll give you a straight answer, not a sales pitch.

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 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.

I am fully dedicated to making your visions and innovative ideas a reality. I strive to not only meet but surpass your expectations, ensuring the transformation of your concepts into impactful and successful outcomes. ✅Bachelor Degree in Computer Science ✅Engineering degree in embedded systems ✅3 + Years Experience in IT & AI developpement I provide: 🟩Responsive Web Applications that make use of advanced AI technologies 🟩API development & Integration (OpenAI Whisper, GPT3 ...) 🟩Generative and predictive AI models My areas of expertise include : 🟢Python, Matlab, JavaScript (React), C++ 🟢Data Science ( Data analysis, Data preparation, Data cleaning, Visualization ) 🟢Artificial intelligence ( Machine learning, NLP, Computer vision, Model tuning, Pipelining ) 🟢Deep Learning ( CNN, LSTM, Yolo, GAN, Transformers, LLM...) 🟢OpenAI 🟢Docker 🟢STM, Raspberry pi, arduino

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