Artur Sato

Frontend: React, TypeScript, Next.js, WebSockets, UI/UX optimization. Backend: Node.js, Python, REST APIs, Real-time systems, WebRTC. AI Integration: OpenAI APIs, image generation, voice APIs, AI chat systems. Architecture: Event-driven systems, async processing, scalable web apps. Infra: Docker, AWS, CI/CD. Led design and built AI-driven real-time communications, improved latency and scalability, and conducted code reviews to uphold engineering standards.

Led design and implementation of real-time AI-enabled communications platforms, delivering low-latency interactions for chat and video/voice workflows. Built scalable backend services in Node.js and Python, with real-time messaging via WebSockets and WebRTC integration. Implemented AI features using OpenAI APIs, image generation, voice APIs, and AI chat systems to support dynamic content generation within user workflows. Employed event-driven architecture and asynchronous processing to maintain responsiveness under high throughput. Collaborated with product teams to define AI-native features, conducted code reviews, and enforced engineering best practices to improve maintainability and reduce bugs. Optimized performance and latency across services, improving perceived responsiveness. Built frontend interfaces in React/TypeScript with real-time synchronization to AI responses using WebSocket channels, delivering responsive user interactions. Deployed and maintained Dockerized services o

Frontend: React, TypeScript, Next.js, WebSockets, UI/UX optimization. Collaborated with backend services (Node.js, Python) to deliver real-time features and AI-powered workflows. Implemented AI API integrations, contributed to scalable web apps, Dockerized services, and deployed via AWS and CI/CD pipelines.