Olusola Akinsulere

Designed multi-tenant retail event pipelines and forecasting workflows that improved sales forecast accuracy ~70% and scaled cloud infrastructure to support increased users and transactions while maintaining high release cadence.

Built payroll ingestion and credit decision APIs that reduced processing time 75% (48h→12h), increased monthly throughput 50%, lowered approval delays 30%, and reduced risk defaults from 8% to 5% using ML signals.

Extracted POS into a separate domain from the monolith, driving a 60% increase in transaction success and improving team output ~80% through documentation, runbooks, and onboarding improvements.

Maintained 99.9% uptime on data and marketing pipelines while scaling systems ~3×, accelerating key queries ~70%, and expanding telco integrations ~75% through async jobs and caching layers.

Delivered APIs and MVPs in 3 months, migrated a monolith to services achieving ~3× performance and ~50% faster deployments, and integrated credit scoring that reduced defaults ~20%.

Built dynamic-forms backend serving 15k+ field users, implemented batch reporting over ~1TB with Celery/RabbitMQ and retries/backpressure, and raised test coverage from ~30% to 70%+ reducing production bugs ~60%.

Completed a Bachelor of Science in Computer Science with coursework and projects covering software engineering, data structures, and distributed systems.