Taiwo Oyewole

Designed containerized microservices using multi-stage Docker builds with Alpine Linux, reducing image size by 60%, and implemented cloud-ready architecture with Kubernetes orchestration. Developed a fault-tolerant strategy pattern for multiple AI provider integrations ensuring 99% system reliability. Architected enterprise pension management system with NestJS microservices, Redis caching, TypeORM, and inter-service communication processing financial data for government agencies and pension fund administrators. Implemented multi-tenant RBAC system with JWT authentication, custom guards, and granular privilege management for financial sector compliance to secure access control across government agencies.

Built a high-performance AI-driven pavement classification system using PyTorch/TensorFlow, deployed via MLflow to support real-time and batch processing across multiple device types including CUDA, MPS, and CPU. Designed scalable microservices with FastAPI and RabbitMQ enabling parallel processing and improving system throughput by 300%.

Led architectural design sessions and made strategic technical decisions optimizing scalability and maintainability. Led migration of legacy Java EE applications (JSP/J2EE) to Spring Cloud architecture, improving security with Spring Gateway and Spring Security, as well as system scalability and maintenance. Performed performance tuning on new services utilizing VisualVM to monitor metrics and achieve optimal configuration for maximum throughput under load. Designed and implemented a high-performance background job using Spring Batch to process and validate millions of registration records, optimizing throughput and ensuring data integrity for large-scale batch operations.