Hire the Best NLP Engineers
in Tunisia

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’m a PhD student in Artificial Intelligence and a skilled LLM Engineer with deep expertise in machine learning, deep learning, NLP, and AI-driven systems. I combine strong technical skills with a research-oriented mindset, enabling me to design intelligent, reliable, and high-impact AI solutions. What I Offer: - Fine-tuning and optimizing LLMs (Mistral, Mixtral, LLaMA, BLIP, Qwen, etc.) - Retrieval-Augmented Generation (RAG): enhancing LLMs with external knowledge sources - NLP solutions: text generation, summarization, sentiment analysis, embeddings - Vector databases (Qdrant, Milvus) for efficient information retrieval - Applied AI: computer vision, medical AI, and scientific research applications - Deployment & scaling: AWS, GCP, Runpod, and scalable cloud setups With experience as a freelancer, researcher, and data analyst, I bring both academic rigor and hands-on engineering to every project, ensuring solutions that are not only technically robust but also research-backed and future-ready. 📩 Let's discuss your AI project!

I am an AI Software Engineer and Researcher with a strong focus on document intelligence, agentic AI systems, and cloud-native architectures. My work bridges cutting-edge research with practical solutions, helping organizations transform complex workflows into efficient, intelligent processes.

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.

Hello, I am Abdessalem, an AI engineer with particular focus on scraping and NLP. I have been working in the NLP field since 2019, and I have experience with different types of projects and technologies: - Fine-tuning open source LLMs - Training deep learning models - Prompt engineering - Building apps using proprietary LLMs as well open source ones - Deploying different types of deep learning models - Implementing research papers - OCR - Data ETL (parsing PDFs and raw data) - Retrieval augmented generation (RAG) - Classification models - Named entity recognition - Neural machine translation - Arabic, English and French NLP (since I speak all of these language) - Large scale training and inference - .. If you have an idea that is not yet clear in your head and you want to discuss, I would be happy to jump on a call with you, and discuss it as a free consultation. If you have a clear project in mind, and you need clear execution, I am also your guy.

👋 Greetings! 📊 Data Analysis Tasks Utilize Python, R, and SQL for in-depth data analysis Perform data visualization using Tableau or other visualization tools Efficiently manipulate large datasets with Pandas or Spark 🤖 Machine Learning and AI Tasks Develop and deploy machine learning models for predictive analytics Implement recommendation systems and personalization algorithms Build and deploy scalable AI solutions using cloud platforms 🛠️ Data Engineering Tasks Design and build data pipelines to ingest, process, and transform data Implement ETL (Extract, Transform, Load) processes for data integration Optimize data storage and retrieval mechanisms for performance and scalability Feel free to reach out if you need assistance with any of these data engineering tasks!