Oreoluwa Adesina

Owns solutions architecture across client engagements, defining system design and integration approach. Delivered a production AI agent for a financial services client and authored the specification layer behind it.

Led end-to-end product and technology strategy for a structured personal finance platform, architecting a Next.js and NestJS monorepo. Designed and implemented an AI-powered DNA workspace with agent-assisted financial thinking.

Lead REST API and onchain integration development, implementing smart contract event listeners and data indexing. Drive bug triage, code review, and automated testing, and lead incident response.

Designed and implemented AI-driven clinical decision support tools, integrating ML pipelines into health data workflows. Developed LLM-powered features and RAG-based systems to improve clinical query response accuracy.

Built and deployed a production voice AI agent handling outbound calls, with batch and booking-link triggers. Built HubSpot features with native Airtable sync and designed scalable AI workflows.

Promoted within one year; led cross-functional teams to streamline product workflows, achieving a 50% reduction in time-to-market for new features and a 25% improvement in sprint velocity.

Built a SaaS networking platform for students using Django, REST APIs, React.js and TypeScript on an AWS-hosted backend, designing and testing the API layer.

Supported product operations and contributed to workflow improvements, leading to a 50% reduction in time-to-market for new features.

Modeled large datasets in Python and SQL across 2M+ transactional records to surface business insights, increasing decision-making accuracy by 20%.

Grade: Distinction

Pursued a Master of Science in Data Science with distinction.

Grade: 3.5/4.0

Earned a Bachelor of Engineering in Petroleum Engineering with a GPA of 3.5/4.0.