Luciana Reynaud
Human-Centered Technology
I craft software that puts human values first, prioritizing safety, intuitive design, and meaningful user experiences in every project I deliver.
I craft software that puts human values first, prioritizing safety, intuitive design, and meaningful user experiences in every project I deliver.
Security and privacy are not afterthoughts—they're integral to my development process from day one.
I believe technology should enhance human dignity, foster connection, and contribute positively to society.
I design every interaction with the end user in mind, creating intuitive and delightful experiences.
I build secure, ethical, and results-driven AI solutions
A sophisticated yet minimalist Retrieval-Augmented Generation system implementing a 2-agent LangGraph pipeline with enterprise-grade engineering practices. Features 100% local deployment with IBM Granite 3.1 MoE 1B, multilingual E5 embeddings, and zero external dependencies. Delivers sub-30ms query latency with WhatsApp-style UI for seamless product information retrieval.
Perfect for: Product teams, e-commerce platforms, customer support systems, technical documentation teams, and businesses requiring instant, accurate product information retrieval with complete data privacy and zero API costs.
Learn MoreA comprehensive genomic analysis platform that processes 23andMe data using ACMG-2015 classification guidelines, with PubMedBERT for clinical interpretations and RAG-powered chat functionality for exploring genetic variants and health insights.
Perfect for: Healthcare providers, genetic counselors, research institutions, and individuals seeking comprehensive genomic analysis with privacy-first local processing and professional-grade reporting. Built for educational purposes, not to substitute a healthcare professional
View RepositoryA multi-tenant platform that collects customer feedback through WhatsApp audio messages, with real-time AI transcription and sentiment analysis for Brazilian businesses.
Perfect for: Restaurants, retail stores, customer service teams, and service providers
View RepositoryA complete self-hosted voice assistant platform that runs 100% offline. Enterprise-grade privacy with customizable AI models, speech recognition, and natural voice synthesis—all without cloud dependencies.
Perfect for: Enterprises, healthcare, government, and privacy-conscious organizations requiring offline AI capabilities
Learn MoreAn intelligent RAG system that processes car manuals and provides instant answers to maintenance questions in multiple languages, with OCR support for image-based PDFs.
Perfect for: Auto shops, mechanics, dealerships, and car owners needing quick technical guidance
Learn MoreAn AI-powered document classification system that automatically sorts PDFs and text documents by type, domain, or regulatory category with human-in-the-loop feedback for continuous improvement.
Perfect for: Law firms, compliance teams, regulatory departments, and document-heavy organizations
Learn MoreA lightning-fast voice assistant that answers phone calls in real-time, classifies callers instantly, and collects lead information with sub-800ms response times.
Perfect for: High-volume call centers, sales teams, professional services, and businesses prioritizing instant customer response
Learn MoreProduction-grade interface to OpenAI's latest GPT-4.1 with advanced vision support. Built on Chainlit, it delivers persistent sessions, image processing, and an elite engineering assistant—all wrapped in a Docker-ready, MIT-licensed package.
Perfect for: Software developers, AI/ML engineers, and tech teams seeking early, multimodal access to cutting-edge language-model capabilities
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I am a Machine Learning and Software Engineer, working since 2021 on Artificial Intelligence projects applied to both structured and unstructured data. I have hands-on experience building data pipelines, prototyping, and evaluating models in both classical ML (regression, classification, clustering) and modern NLP, including LLMs and SLMs, with a focus on prompt engineering and performance optimization. In recent years, I have strengthened my foundation in calculus and statistics, enhancing my quantitative analysis and scientific rigor. My goal is to apply AI responsibly and impactfully, combining solid fundamentals with technical innovation. I am also an experienced Conversation Designer, able to merge technical expertise with well-researched UX to deliver optimal results, and well-versed in hybrid conversational platforms such as Blip.
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