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.

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.

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 am a final year BSc Computer Engineering undergraduate at the University of Jaffna, Sri Lanka, with hands on experience in Artificial Intelligence, Machine Learning, AI automation, chatbot development, and full stack software engineering. I specialize in building practical AI powered applications that combine modern web development with Generative AI, LLMs, RAG pipelines, AI agents, voice technologies, NLP, and production ready backend systems. My main focus is helping clients turn ideas into real working systems such as AI chatbots, customer support assistants, document based RAG assistants, voice AI applications, workflow automation tools, SaaS platforms, and intelligent web applications. What I Can Help You Build: • Custom AI chatbots for websites, businesses, documents, and customer support • RAG based assistants using PDFs, websites, knowledge bases, videos, and business data • AI agents and automation workflows using LangChain, LangGraph, n8n, and API integrations • Voice AI systems using speech to text, text-to-speech, and real time conversation flows • NLP applications for text analysis, classification, summarization, and information extraction • Full stack AI web applications using React, FastAPI, Node.js, NestJS, and MERN stack • Machine learning models for classification, prediction, data analysis, and automation • Computer vision and image processing solutions for real-world AI use cases • SaaS style platforms, dashboards, admin panels, and scalable backend APIs Technical Skills: - AI & Generative AI: LLMs, RAG, AI Agents, Chatbots, Prompt Engineering, HuggingFace, Transformers, LangChain, LangGraph, Vector Databases, FAISS, ChromaDB. - Voice & NLP: Speech-to-Text, Text-to-Speech, Conversational AI, NLP Pipelines, Document AI, AI Assistants. - Machine Learning: Python, Scikit-learn, TensorFlow, Pandas, NumPy, Model Training, Model Evaluation, Data Preprocessing, Feature Engineering. - Full Stack Development: React.js, JavaScript, TypeScript, Node.js, Express.js, NestJS, FastAPI, Flask, Streamlit, MERN Stack. - Databases & Cloud: MongoDB, PostgreSQL, MySQL, Firebase, Supabase, AWS EC2, Vercel, Railway, HuggingFace, Firebase Hosting. - Automation & Integrations: n8n, REST APIs, third-party API integrations, workflow automation, email automation, Google Sheets automation. Why Work With Me: I understand both AI development and software engineering, which means I can build solutions that are not only intelligent but also usable, scalable, and reliable. I focus on clean code, clear communication, practical problem-solving, and building systems that create real business value. My internship and project experience have given me strong exposure to real-world development workflows, clean architecture, backend systems, AI integration, and production-ready application development. If you are looking for someone who can build AI chatbots, AI agents, RAG systems, voice AI tools, automation workflows, or full-stack AI applications, I would be happy to help bring your project to life. GitHub: UdaraChamidu Portfolio: udarachamidu.site

I am an AI Engineer with 4+ years of experience building and deploying production-ready AI systems across classical machine learning, deep learning, computer vision, NLP, and Generative AI. Unlike many AI developers who focus only on LLMs, I work across the entire AI stack. I believe the best solution isn't always a large language model or an expensive API. Many real-world problems are better solved using classical machine learning or deep learning, resulting in lower infrastructure costs, faster inference, reduced latency, and greater control over your solution. My goal is always to build the most effective system not the most expensive one. Some of the areas I regularly work in include: * Classical Machine Learning (XGBoost, LightGBM, CatBoost, Random Forests, SVMs, feature engineering, predictive modelling, forecasting, anomaly detection, recommendation systems) * Deep Learning (PyTorch, TensorFlow, CNNs, Transformers, Vision Transformers, knowledge distillation, model optimization) * Computer Vision (object detection, image classification, segmentation, OCR, document understanding, face recognition, multi-object tracking, embedding-based search) * NLP & LLMs (RAG, GraphRAG, agentic workflows, fine-tuning, embeddings, semantic search, document QA, information extraction) * Generative AI applications using OpenAI, Anthropic, Gemini, and open-source models * End-to-end AI pipelines from data collection and preprocessing to training, evaluation, deployment, and monitoring I also have extensive experience optimizing AI models for production through knowledge distillation, pruning, quantization, and efficient inference, making models smaller, faster, and more cost-effective for both cloud and edge deployments. On the engineering side, I work comfortably with Python, FastAPI, PostgreSQL, pgvector, asynchronous programming, Docker, GPU acceleration, and cloud deployments. I build complete AI products and APIs that are designed to scale not just research prototypes. Beyond implementation, I enjoy solving difficult research and engineering problems. Whether it's designing a predictive model, improving model accuracy, reducing inference costs, building an intelligent document processing pipeline, or deploying an LLM application, I focus on solutions that are reliable, maintainable, and practical for production. I also lead a team of AI engineers, giving me experience not only in technical execution but also in planning, code quality, mentoring, and delivering projects on time. If you're looking for someone who can understand the problem first, choose the right AI approach, and build a production-ready solution that balances performance, cost, and scalability, I'd be happy to help.

I am a Senior Generative AI Scientist & Full-Stack Developer with multiple years of experience designing, fine-tuning, and deploying advanced AI systems for startups, enterprises, and research labs. My career is built on bridging AI research with production-ready solutions, enabling businesses to harness the power of modern AI through seamless, user-friendly web and mobile applications. 🔹Generative AI & Applied Research I have hands-on expertise with Large Language Models (LLMs) such as GPT, LLaMA, and Mistral, specializing in: Fine-tuning, evaluation, and quantization for efficiency. Building Retrieval-Augmented Generation (RAG) pipelines with vector databases (FAISS, Chroma, Pinecone). Developing multimodal AI systems integrating text, images, audio, and video. Designing advanced chatbots and assistants with contextual memory, voice interaction, and personalized responses. Implementing AI for document summarization, translation, Q&A, and OCR-driven processing. Leveraging Hugging Face, LangChain, Ollama, and other frameworks for enterprise AI deployments. I focus on transforming cutting-edge research into real-world applications, ensuring each solution is reliable, efficient, and scalable. 🔹Full-Stack Web & Mobile Development Beyond AI, I specialize in building the platforms that deliver AI to end users. I design and develop complete frontend and backend systems that make advanced AI tools accessible: Frontend: React.js, Next.js, Tailwind CSS, TypeScript → responsive, modern, and interactive user interfaces. Backend: Node.js, FastAPI, Express.js → scalable APIs, secure integrations, and real-time communication. Databases & Storage: MongoDB, PostgreSQL, Firebase → structured and unstructured data handling. Mobile Apps: React Native, Kotlin, and Android → cross-platform apps with native performance. DevOps & Deployment: Docker, Kubernetes, AWS, GCP → secure, production-ready hosting. UI/UX for AI: Designing intuitive dashboards, chat interfaces, and analytics panels tailored for AI-driven applications. This full-stack expertise ensures I don’t just build the AI engine — I also create the interfaces, dashboards, and mobile/web experiences that make AI practical and impactful for real users. 🔹Key Strengths & Capabilities LLMs: GPT, LLaMA, Mistral → fine-tuning, embeddings, optimization. RAG & Vector Databases: FAISS, Chroma, Pinecone. Multimodal AI: speech-to-text, text-to-speech, OCR, image-to-text. AI Applications: chatbots (text + voice), assistants, summarization tools, translation, recommendation systems. Full-Stack Development: React.js, Next.js, Tailwind, Node.js, FastAPI, Express.js. Mobile Development: React Native, Kotlin, Android. DevOps: Docker, Kubernetes, AWS, GCP, CI/CD pipelines. Data Security: local hosting, privacy-first architectures, policy-driven systems. Research to Product: prototype design, whitepapers, applied research, SaaS platforms. 🔹Industry Applications Delivered I have successfully delivered AI-powered platforms and web/mobile apps across: Healthcare – patient chatbots, medical document summarization. Education – bilingual AI tutors, university chatbot platforms. Finance – fraud detection support, AI-based document parsing. Legal – contract summarization, knowledge-driven assistants. Marketing & Customer Support – multilingual chatbots, voice-enabled service agents, data-driven analytics. 🔹My Philosophy I believe AI is only as powerful as the experience delivered to users. That’s why I combine scientific AI expertise with end-to-end software engineering, ensuring businesses not only get powerful AI engines but also beautiful, intuitive, and scalable platforms to deploy them. If you are looking for someone who can design, build, and deploy AI-powered web or mobile applications from the ground up, I can help you turn your ideas into real-world, production-ready solutions. Let’s collaborate to build the next generation of Generative AI-powered platforms.