Building the future with AI
AI Developer & Full-Stack Developer crafting intelligent chatbots and scalable systems. Deep learning, NLP, and building solutions that actually work.
AI Developer / Full-Stack Developer / Chatbot Specialist
I'm Mohamed-Taqy Salmi, an AI developer and full-stack developer passionate about building intelligent systems that solve real-world problems. With a strong foundation in computer science and hands-on experience in NLP, deep learning, and modern web development, I specialize in creating production-grade chatbots, RAG architectures, and scalable SaaS platforms.
I'm driven by the belief that great technology should feel effortless — and I obsess over every detail to make that happen.
The tools and tech that power my projects
AI-powered projects from chatbots to full systems
Building a production-ready SaaS platform combining intelligent chatbots, RAG architecture, and scalable backend infrastructure. Features include multi-tenant architecture, real-time analytics, AI model orchestration, and enterprise-grade security. Currently in active development with beta testing phase approaching.
Intelligent chatbot using RAG approach with DeepSeek, featuring intent classification, advanced caching, and real-time API integration for the Trevio platform.
Automated customer service for fashion e-commerce. Handles product inquiries, returns, exchanges, and tracking with 27 intents and 1,024 trained questions.
Movie recommendation system combining content-based filtering, machine learning, and conversational chatbot using TF-IDF and cosine similarity.
AI assistant guiding students through programs, courses, and research opportunities with sentiment analysis and conversation tracking.
Chatbot using sentiment analysis to predict user mood (happy, sad, neutral) from text responses with personalized feedback.
Intelligent chatbot for luxury car rentals with 8 workflows, 3 data tables, and 4 knowledge bases for seamless booking experience.
Automatic spelling and grammar correction with named entity recognition for both single phrases and complete documents.
Web scraping project analyzing emotional sentiment of literary quotes with data visualization using Matplotlib and Seaborn.
Kanban-style app with real-time collaboration, task assignment, deadlines, and team communication built with React and MongoDB.
Digital correspondence system for ORMVA automating mail registration, tracking, and workflows with advanced search.
Maintenance and feature development for private school platform with portal for students, parents, and teachers.
5+ custom websites for local businesses in Errachidia including e-commerce, portfolio sites, and service platforms.
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