Daikukai Bindah

Architected scalable microservices using Go and Node.js to handle high-concurrency user requests with minimal latency. Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using Python, integrating Pinecone vector databases with LLM APIs for advanced data querying. Optimized complex PostgreSQL queries and implemented Redis caching layers, reducing API response times by over 40%. Containerized application environments utilizing Docker to ensure consistent, zero-downtime deployments.

Developed robust asynchronous REST APIs using FastAPI to serve data models to front-end clients. Built automated data ETL pipelines to ingest, clean, and structure large datasets for predictive modeling. Configured automated testing and CI/CD pipelines via GitHub Actions, cutting manual deployment time and reducing production bugs. Collaborated with cross-functional teams to translate complex business requirements into scalable cloud architectures on AWS.

Led development of dynamic client-facing web applications using React.js and TypeScript, focusing on modular component design. Transitioned legacy monolithic codebases into decoupled, headless architectures, improving maintainability. Integrated third-party payment gateways such as Stripe and secure authentication protocols like OAuth 2.0 and JWT. Monitored application health and performance using observability tools, proactively resolving front-end rendering bottlenecks.