Kanemoto S.

Core Expertise 1. Next.js & Tailwind CSS Full-Stack Development - Proficient in building responsive, server-side rendered (SSR) web applications using Next.js 14 and App Router, integrated with Tailwind CSS for rapid UI design. - Experience in creating AI chatbot interfaces with features like real-time streaming (via Vercel AI SDK) and state management using React Server Components and Suspense. 2. Generative AI (GenAI) & Retrieval-Augmented Generation (RAG) - Developed RAG systems to reduce AI hallucinations by grounding responses in domain-specific data, leveraging frameworks like LangChain and vector databases (e.g., Pinecone, Neo4j) for context-aware Q&A. - Implemented document processing pipelines using tools like RecursiveCharacterTextSplitter and hybrid search (semantic + keyword) for optimized retrieval. - Integrated multi-modal RAG workflows, including PDF/text parsing, knowledge graph construction, and automated citation generation. 3. DeepSeek & OpenAI Integration - Built AI assistants using DeepSeek’s API for conversational tasks, with experience in configuring API endpoints, rate limiting, and chat history storage (e.g., Vercel KV). - Deployed OpenAI models (GPT-3.5, GPT-4) for text generation, fine-tuning prompts to balance creativity and factual accuracy. 4. Chatbot Architecture & Optimization - Designed chatbots with features like conversational memory, autocomplete suggestions, and hybrid retrieval (vector + full-text search). - Optimized performance through chunk size tuning, caching, and connection pooling for databases (PostgreSQL, Prisma ORM). 5. Recent Projects & Tools - SongChat-Next-Tailwind: A Next.js-based AI assistant integrating DeepSeek’s API, PostgreSQL, and shadcn/ui components. - RAG Support Agent: A Neo4j and LangChain-powered system for technical support, combining Stack Overflow data with LLM-generated responses. - Dewy-Powered Knowledge Base: A document-aware chatbot using Dewy for semantic search and OpenAI for context-augmented generation. Technical Stack • Frontend: Next.js 14, React Server Components, Tailwind CSS, shadcn/ui • Backend: Node.js, Prisma, PostgreSQL, Vercel AI SDK, NextAuth.js • AI/ML: DeepSeek API, OpenAI, LangChain.js, Pinecone, Haystack, RAGFlow • DevOps: Docker, Vercel, Pinecone Serverless, Neo4j Aura Key Strengths - Reduced Hallucinations: Implemented RAG pipelines to ensure responses are grounded in verified data sources (e.g., Stack Overflow, internal docs). - Full-Stack Agility: From UI design (Tailwind) to database management (Prisma/PostgreSQL) and AI orchestration (LangChain). - Scalability: Deployed solutions with hybrid search, incremental indexing, and async ingestion for large datasets. Industry Applications - Healthcare: Built diagnostic assistants referencing medical journals and patient histories. - Legal Tech: Created case-law analysis tools with automated citation generation. - Customer Support: Designed chatbots using GenAI to generate tickets mimick