The latest articles on DEV Community by Daishi Kaito (@daishi_kaito_e6003e48bf70). https://dev.to/daishi_kaito_e6003e48bf70 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3929652%2F09de19f4-1a0e-4bc7-b6a4-712e6512f85d.png https://dev.to/daishi_kaito_e6003e48bf70 en Daishi Kaito Tue, 16 Jun 2026 12:10:45 +0000 https://dev.to/daishi_kaito_e6003e48bf70/edubridge-ai-powered-educational-support-platform-48m4 https://dev.to/daishi_kaito_e6003e48bf70/edubridge-ai-powered-educational-support-platform-48m4 <p>EduBridge was created to help students access personalized learning support, high-quality educational resources, and a collaborative learning community. While information is widely available online, many learners struggle to find proper guidance, motivation, and structured support. EduBridge bridges that gap by combining AI-driven assistance with community-based learning<br> Key Features<br> Personalized educational support<br> AI-powered learning assistance<br> Learning material and resource sharing<br> Community-driven mentoring and collaboration<br> Smart progress tracking and recommendations<br> Real-time communication between students and mentors<br> Frontend<br> Next.js 15, React 19, TypeScript,Tailwind CSS, shadcn/ui<br> Backend<br> Node.js, Bun, Fastify, PostgreSQL, Redis, GraphQL, WebSockets<br> One of the biggest challenges was integrating AI-powered learning capabilities while maintaining high performance, scalability, and a seamless user experience. The platform needed to support real-time communication, intelligent search, personalized recommendations, and large-scale educational content delivery simultaneously.<br> To overcome these challenges, we:</p> <ul> <li>Redesigned the backend using a microservices architecture</li> <li>Optimized database performance and query efficiency</li> <li>Implemented Redis caching for faster response times</li> <li>Built a RAG (Retrieval-Augmented Generation) pipeline with vector search for accurate AI-powered assistance</li> <li>Enhanced frontend rendering and application responsiveness</li> <li>Continuously improved features based on user feedback and real-world usage If you're interested in this project or looking to build a similar AI-powered platform, feel free to reach out.</li> </ul> ai learning nextjs webdev Daishi Kaito Wed, 13 May 2026 15:31:01 +0000 https://dev.to/daishi_kaito_e6003e48bf70/looking-for-864 https://dev.to/daishi_kaito_e6003e48bf70/looking-for-864 <p>AI and full-stack Engineer with 8 years of experience building scalable, production-grade systems across LLM platforms, distributed systems, and backend infrastructure. Delivered measurable impact through AI-driven automation, including 40% cost reduction in operational workflows and significant improvements in system efficiency at scale.<br> Specialized in LLM integration, RAG pipelines, and intelligent automation systems, with strong experience designing high-performance backend architectures for real-time data processing and large-scale decision systems.<br> Demonstrated ownership of complex systems end-to-end, from architecture design to deployment and optimization in production environments. Built and deployed AI systems, blockchain infrastructure, and distributed services with a focus on reliability, security, and scalability.<br> Tech stack includes Python, Node.js, C++, AWS, Docker, and microservices, with additional experience in React and Next.js for full-stack delivery.<br> If you have ideas or are facing difficulties with an ongoing project, please feel free to contact me at any time.</p>