Hire the Best NLP Engineers

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.

𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 building production backend systems, AI infrastructure, and scalable applications designed to handle real-world traffic, complex workflows, and enterprise-level reliability. My core is 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐃𝐣𝐚𝐧𝐠𝐨, and AI-powered backend architecture. On the frontend I work across 𝐑𝐞𝐚𝐜𝐭, 𝐍𝐞𝐱𝐭.𝐣𝐬, and TypeScript-based systems where frontend performance and backend scalability are designed together from the start. I've built real-time AI products, GPT-powered RAG systems, multi-agent workflows, and multi-tenant SaaS platforms handling large-scale workloads, concurrent users, and AI-driven automation in production environments. Every system is built with scalability, observability, and long-term maintainability in mind. ━━━━━━━━━━━━━━━━━━━━━━ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ━━━━━━━━━━━━━━━━━━━━━━ 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 LLM-powered applications, GPT-4 integrations, RAG systems with source citations, semantic search, vector database architecture, AI agents, multi-agent workflows, and intelligent automation systems. 𝐏𝐲𝐭𝐡𝐨𝐧 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Python, FastAPI, Django, Flask, async APIs, WebSockets, streaming systems, microservices, scalable backend workflows, and high-performance API infrastructure. 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 AI workflow automation using n8n, Make(.com), custom orchestration systems, event-driven pipelines, and backend coordination for AI-powered operations. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈 & 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 AWS Bedrock, Textract, Google Document AI, Vision API, OCR pipelines, anonymization systems, and AI-powered document processing workflows. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 React, Next.js, TypeScript, Node.js, real-time interfaces, dashboard systems, and frontend architectures aligned with scalable backend services. 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 AWS (ECS, Lambda, EC2, S3, RDS, Bedrock, EKS), GCP (Cloud Run, Cloud Functions, App Engine), Docker, Kubernetes, Terraform, CI/CD pipelines, and multi-tenant SaaS infrastructure. ━━━━━━━━━━━━━━━━━━━━━━ 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 ━━━━━━━━━━━━━━━━━━━━━━ 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐀𝐈 𝐒𝐭𝐨𝐫𝐲𝐭𝐞𝐥𝐥𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a FastAPI-based AI storytelling backend integrated with OpenAI and ElevenLabs, load-tested for 100K concurrent sessions with real-time AI streaming. 𝐁𝟐𝐁 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Developed a multi-tenant SaaS platform with custom ML systems, Pinecone-backed recommendation engines, and scalable AI infrastructure. 𝐆𝐏𝐓-𝟒 𝐑𝐀𝐆 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 Built a production-grade RAG chatbot for a major UK energy provider using GPT-4, vector search, and contextual retrieval pipelines. 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 Developed an AI-powered anonymization and document processing system for UK government workflows using OCR and intelligent extraction pipelines. ━━━━━━━━━━━━━━━━━━━━━━ 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 ━━━━━━━━━━━━━━━━━━━━━━ I focus on building AI systems that are engineered for production use, not demo environments. Architecture, scalability, observability, and infrastructure planning are defined early to avoid instability later. Clear communication, structured execution, and technical ownership are part of every engagement. Comfortable working directly with founders, engineering teams, and non-technical stakeholders. 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 → 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦 𝐃𝐞𝐬𝐢𝐠𝐧 → 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 → 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 → 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 ━━━━━━━━━━━━━━━━━━━━━━ 𝐁𝐞𝐬𝐭 𝐅𝐢𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 ━━━━━━━━━━━━━━━━━━━━━━ Production AI systems and LLM-powered applications RAG pipelines and AI search platforms Real-time AI products and streaming systems Multi-agent AI workflows and automation platforms Python backend systems with scalable infrastructure Cloud-native SaaS and enterprise AI applications ━━━━━━━━━━━━━━━━━━━━━━ If you need a 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 who can design and deliver production-grade AI systems with scalable backend architecture, let’s connect. Python | FastAPI | Django | Flask | React | Next.js | TypeScript | Node.js | AI Engineering | LLM Applications | GPT-4 | OpenAI API | Claude API | Google Gemini | RAG Systems | Vector Databases | Pinecone | pgvector | Elasticsearch | Semantic Search | AI Agents | Multi-Agent Workflows | Prompt Engineering | AI Automation | n8n | Make(.com) | Document AI | AWS Bedrock | Textract | Google Document AI | OCR Pipelines | WebSockets | Async APIs | Real-Time Streaming | PostgreSQL | MongoDB | AWS | ECS | Lambda | EC2 | S3 | RDS | EKS | GCP | Cloud Run | Docker | Kubernetes | Terraform | CI/CD | SaaS Architecture | Multi-Tenant SaaS | Backend Architecture | Scalable Infrastructure | API Development | Cloud-Native Applications | Software Architecture

I build systems that automate complex workflows, reduce manual work, and scale with YOUR BUSINESS! I have 10+ years of experience in Python backend development, building scalable systems using FastAPI, Flask, and Django. My expertise includes AI/LLM systems, machine learning, data engineering, and cloud infrastructure, as well as DevOps, MLOps, and automation workflows. I focus on delivering production-ready solutions that are reliable, scalable, and built for real-world usage. 🏆 RECENT PROJECT OUTCOMES 🏆 • Data Platform | SaaS: Re-architected a Big Data survey US platform, led legacy system migration ensuring 100% data integrity, built data pipelines with +170% performance improvement, 99.9% uptime, supported 50,000 daily users. • Real Estate PropTech | AI Agents: Built an AI-powered market price monitoring system with ML models and automated data extraction pipelines. Achieved 94% prediction accuracy, increased data value by 400% through data transformation, saved 500 hours/month, aggregated data from 25 sources. • E-commerce | Big Data Analytics: Developed ETL pipelines and analytical workflows for large-scale datasets. Achieved +50% pipeline performance, 300% faster processing, handled 10,000,000 records daily, orchestrated 500 automated data tasks/day. • LegalTech | AI Document processing: Designed an AI-powered document processing system for patent analysis with data extraction. As a result - 80% reduction in manual review, 91% extraction accuracy, saved 150 hours/month for legal teams, processed 20,000 documents/month, reduced processing time from 2 hours to 3 minutes. • Automotive | Backend & DevOps: Migrated backend infrastructure, implemented automated deployment. Achieved zero-downtime deployments, 70% faster release cycles, reduced deployment time from 30 minutes to 1 minute, integrated 27 external services, supported 3,000 daily active users. • Healthcare | AI Document processing: Built an AI product from zero for document intelligence. Created PoC in 2 months, MVP in 4 months, 67% faster document processing, supported 10,000 requests/month, reduced manual workload by 700 hours/month. • Computer Vision | Social Platform: Developed an image classification system with custom neural networks. Achieved 96% model accuracy, processed 100,000 images/day, reduced manual moderation time by 70%. 📌 SERVICES (WHAT I CAN BUILD FOR YOU) 📌 • Backend & API Development: Scalable SaaS backends, web platforms and high-performance APIs that support real users and business growth. • Data & Automation: Data Extraction, data pipelines, analytics systems, and workflow automation that reduce manual work and save time. • AI / LLM Systems: AI agents, chatbots, Prompt engineering, RAG pipelines, LLM-powered applications, document processing, and AI models that automate decision-making. • Architecture & Integrations: Microservices and system design with seamless third-party API integrations. • Cloud & DevOps: Scalable infrastructure, CI/CD pipelines, and high-load systems built for reliability and performance. ✏️ STACK ✏️ • Backend development: Python, FastAPI, Django, Flask, Django REST • Data: PostgreSQL, MySQL, MongoDB, SQLite, Snowflake, SQL, PySpark, Pandas • Cloud: AWS (Lambda, S3, EC2, RDS, API Gateway), GCP, Azure, Docker, Kubernetes • Streaming: Apache Kafka, Celery, Redis • AI / LLM: OpenAI, ChatGPT, Claude, Embeddings, LangChain, LangGraph, HuggingFace, RAG • ML: PyTorch, TensorFlow, Scikit-learn • Agents & Voice: CrewAI, AutoGen, Deepgram 🎯 WHAT CLIENTS SAY 🎯 ⭐️⭐️⭐️⭐️⭐️ "Thanks for exceptional execution and speed. He launched an AI system in record time. Direct impact on our revenue within the first months!" ⭐️⭐️⭐️⭐️⭐️ "Best AI/LLM implementation we've seen. One of those rare specialists who can both architect and execute. If your project is complex, this is the person you want on it." 🫡 ROLES I TAKE ON 🫡 • AI / LLM Engineer in Python - building production-ready AI systems, RAG pipelines, and LLM-powered apps • AI Agent Python Developer - designing multi-agent systems and workflow automation with Python • Python Backend Developer (FastAPI / Django) - building scalable APIs and SaaS backends • Machine Learning Engineer in Python - developing predictive models and NLP systems • Data Engineer (Python) - designing automated ETL pipelines and large-scale data systems • Cloud / DevOps Engineer (AWS, GCP) - delivering scalable infrastructure and CI/CD pipelines automation • RAG & Document AI Developer in Python - developing document processing systems, embeddings, and knowledge retrieval • Python System Architect Developer (Microservices / AI Systems developer) - designing high-load, distributed architectures 👉 Looking to build an AI or LLM-powered system? Click “INVITE TO JOB” to reach out, I’m happy to discuss your project and suggest the best approach! Choose the best AI engineer and Python developer to build data platforms, APIs, automation systems, and scalable web applications together!

I have more than 10 years experience in research and application development. I have graduated (PhD) from The University of Tokyo from 2012. I am expert in computer vision, computer graphic (programming), pattern recognition and machine learning. However, if you want to ask about my strong language, I have to say that it is Python. I and my teammate have developed several projects for Thailand government. List of my previous projects: - Resume Parser - Thai Chatbot - Speech Command Program - GPS tracking application for chemical waste truck. - Natural Language Processing for text messenger application. - Machine learning based for template matching in 2D tracking application. - Dairy cow behavioural recognition using CNN - ERP system using python, postgres - etc.

I’m an AI Engineer with 7+ years of experience building, training, and deploying machine learning solutions that solve real business problems. I help clients turn data and product ideas into production-ready AI systems, with a strong focus on LLM applications, chatbot development, predictive modeling, computer vision, and deployment workflows. My core stack includes Python, TensorFlow, PyTorch, Keras, Hugging Face, LangChain, OpenAI API, Llama, Anthropic, Mistral, NumPy, Pandas, and modern MLOps/CI/CD practices. I’ve worked on projects such as customer support chatbots, stock market forecasting tools, face mask detection systems, and AI-powered applications that improve efficiency and user experience. What clients get when working with me: - Clean, scalable AI solutions built for production - Fast implementation with strong engineering practices - Clear communication and reliable delivery - Models and workflows designed for real-world performance Whether you need an LLM-powered assistant, a machine learning model, or help deploying AI into your product, I can help from prototype to production. Let’s discuss your goals and build the right solution.

I build AI systems that make it to production: machine learning and NLP pipelines, LLM and RAG applications, AI agents, and voice AI used by real customers every day. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐨𝐫𝐤 - Voice AI agent platform at a healthcare technology company - Clinical document extraction system on vLLM hitting 99.99%+ accuracy on messy, unstructured files - Internal agentic coding assistant that cut time spent on repetitive engineering workflows by 80% - LiveQ, an AI desktop assistant I founded (Electron and Next.js on LiveKit): designed the full agent architecture and ran 50+ customer interviews in the first month 𝐌𝐋 𝐚𝐧𝐝 𝐍𝐋𝐏 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 My experience goes deeper than the LLM wave. At Penn State's NLP lab I built a conversational agent deployed to Alexa devices reaching a 50M+ user base, and worked hands-on with transformer models (BERT, T5, XLNet), NER pipelines, OCR, and topic modeling. That history means I know when your problem needs a fine-tuned classifier instead of a frontier model, and when it doesn't need ML at all. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐖𝐢𝐭𝐡 - LLM applications and RAG pipelines with strict accuracy targets - AI agents and tool integrations (function calling, MCP) - Voice AI and real-time interaction systems - NLP and document AI: extraction, classification, intelligent OCR - End-to-end automation, from backend services to a polished UI 𝐒𝐭𝐚𝐜𝐤 𝐚𝐧𝐝 𝐂𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐬 Python, TypeScript, LangChain, LiveKit, Ray Serve, vLLM, Next.js, AWS and GCP. MS in Computer Science (AI) from USC. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 I move fast, take ownership, and communicate clearly. Send me a message with what you're building, and I'll tell you honestly whether I'm the right fit and how I'd approach it. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, NLP, Natural Language Processing, Generative AI, LLM, Large Language Models, ChatGPT, OpenAI, Claude, Llama, RAG, Retrieval Augmented Generation, Vector Database, Embeddings, AI Agent, Agentic AI, Multi-Agent Systems, MCP, Model Context Protocol, Function Calling, Voice AI, Conversational AI, Chatbot, Speech-to-Text, Text-to-Speech, LiveKit, vLLM, LangChain, Ray Serve, Prompt Engineering, LLM Deployment, Document AI, Intelligent Document Processing, Data Extraction, OCR, Named Entity Recognition, BERT, Transformers, AI Automation, Workflow Automation, Python, TypeScript, Next.js, React, Electron, AWS, GCP, Healthcare AI, Full-Stack Development, Real-Time Systems