The latest articles on DEV Community by success (@daishi19950929). https://dev.to/daishi19950929 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%2F4024880%2F0d357424-59cd-47b5-ae2d-6233e5a7eeb7.png https://dev.to/daishi19950929 en success Sat, 11 Jul 2026 07:58:31 +0000 https://dev.to/daishi19950929/looking-for-a-job-3i6p https://dev.to/daishi19950929/looking-for-a-job-3i6p <p>Hi, excited to be part of this community! I'm an AI and full stack engineer with 8 years of experience building scalable, production grade systems from LLM platforms and RAG pipelines to distributed backend infrastructure. Recent work includes AI driven automation that cut operational costs by 40% and meaningful gains in system efficiency at scale.<br> I focus on practical, reliable systems: end to end pipelines covering data processing, model training, and production deployment, plus full stack product work (API design, system architecture, and integrating AI features into user-facing apps). Tech stack spans Python, Node.js, Go, AWS, Docker, React, and Next.js, with additional experience in computer vision, NLP, agent based systems, and cloud infrastructure.<br> Always happy to collaborate, swap ideas, or help out if you're facing a tough problem on an ongoing project feel free to reach out anytime.</p> ai programming webdev python success Sat, 11 Jul 2026 07:53:31 +0000 https://dev.to/daishi19950929/smartsupport-ai-1j5g https://dev.to/daishi19950929/smartsupport-ai-1j5g <p>I developed <em>SmartSupport AI</em>, an AI-based customer support system designed to help companies respond to customer inquiries faster, reduce manual workloads, and improve the overall customer experience.<br> I developed <em>SmartSupport AI</em>, an AI-based customer support system designed to help businesses respond more quickly to customer inquiries, reduce manual burdens, and improve the overall customer experience. <br> 🧠 Key Features</p> <ul> <li>24/7 automated customer support chatbot</li> <li>Immediate responses to common customer questions</li> <li>Smart ticket generation for complex issues</li> <li>Conversations with context awareness and memory capabilities</li> <li>Multi-channel support (web chat and integration) ⚙️ Technology Stack Frontend: Next.js (React) + TypeScript Backend: FastAPI (Python) / Node.js (NestJS for scalable architecture) AI Layer: LLMs (GPT-4.1 / Claude) + LangChain for orchestration Vector Database: Pinecone / Weaviate for semantic search (RAG) Database: PostgreSQL (Structured Data) + Redis (Cache and Sessions) Infrastructure: Docker + Kubernetes for deployment and scaling API: REST + WebSockets for real-time chat support 💡 Reason for Development Most companies still struggle with slow response times, overloaded support teams, and repetitive customer questions. This project aims to automate repetitive tasks while maintaining natural, human-like interactions. ⚠️ Key Challenges</li> <li>Understanding unclear or incomplete user questions</li> <li>Maintaining context within long conversations</li> <li>Preventing incorrect or nonsensical AI responses 🔧 Solutions</li> <li>Adding conversation history to enhance context tracking</li> <li>Introducing intent detection before response generation</li> <li>Establishing fallback features and safety rules for uncertain responses</li> <li>Continuous testing using real-world support scenarios 📈 Current Focus Basic support tasks are already being handled reliably, and we are currently improving the following areas:</li> <li>Improving response accuracy</li> <li>Improving integration with real-world business tools</li> <li>Enhancing speed and scalability <strong>If you work in the fields of AI, SaaS, or automation</strong>, please feel free to contact us or share feedback at any time. Also, if you are interested in this project, please feel free to reach out at any time.</li> </ul> ai programming webdev python