Opeyemi Ogunbanwo

Architected and built core backend services with FastAPI and SQLAlchemy, owning async Python services handling high-concurrency financial workloads via Redis queues. Cut database latency by 50% and sustained 20k+ daily requests with zero critical regressions.

Built async Python data pipeline services processing 50M+ multilingual samples for Llama 4 training on AWS, using Redis queue-based workloads. Improved runtime by ~10% via profiling, batching, and I/O optimizations, and increased dataset consistency by 25% with typed models and automated checks.

Built and scaled backend services with FastAPI and Django using SQLAlchemy/Django ORM, designing schemas from scratch and implementing Redis queue-based background jobs. Reduced API load times by 40% through query optimization and caching while owning CI/CD with GitHub Actions.

Built backend services and database schemas with Django and PostgreSQL, driving a 50% improvement in operational efficiency and a 30% increase in processing speed through refactors. Owned key architecture decisions to improve reliability and performance.

Completed a Diploma program in Software Engineering (Backend) at AltSchool Africa.

Completed a Python Bootcamp at 365 Data Science.

Completed CS50 (Harvard) as a programming and computer science foundation course.

Completed AWS ML Foundations training focused on building foundational machine learning skills.

Earned a B.Eng. in Computer Engineering at the University of Ilorin.