oludayo adeoye

Evaluated AI language model outputs across 100+ tasks/week for conversational quality and technical accuracy in customer support use cases. Contributed to RLHF annotation workflows and curated/validated RAG training datasets to improve label consistency for Zendesk and Salesforce support scenarios.

Architected and delivered a microservices rewrite of a payment and analytics monolith, reducing average API response time by ~40%. Streamlined deployments from ~12 manual steps to a single Terraform + Jenkins command (release time to under 15 minutes) and containerized 6 services using Docker and Kubernetes behind Traefik to reduce environment-parity incidents.

Built Zendesk and Salesforce chatbot integrations that automated tier-1 query resolution, deflecting an estimated 30–40% of tickets from human agents. Implemented RAG pipelines with sub-2-second retrieval and mentored 4 junior developers, enabling them to ship production features within 6 weeks.

Developed an LLM-backed Zendesk chatbot to handle repetitive tier-1 queries, driving a measurable drop in agent queue length within the first month. Built a RAG retrieval layer over Salesforce CRM data to reduce customer response drafting time by ~35% and delivered 3 AI-driven client web applications on schedule.

Executed 200+ test cases across functional, integration, and regression cycles for web and mobile across 8+ client projects. Validated OAuth2/JWT authentication and API contracts in distributed microservice environments, and used Prometheus, Grafana, Loki, and Zipkin to reduce mean time to identify test-environment failures from hours to minutes.

Annotated and quality-reviewed NLP training datasets across 5,000+ samples, maintaining >95% inter-annotator agreement. Collaborated with ML engineers to identify and correct 3 systematic labeling inconsistencies before model training.

Designed and executed automated UI and API test suites for 3G/4G LTE network management systems, covering 5 critical subsystems. Contributed to a revision control migration for a 42-engineer team (reducing integration conflicts) and created automation scripts that cut manual report generation effort by ~50% (saving ~10 engineer-hours per release cycle).

Built fintech reporting dashboards (ASP.NET Core, Razor Pages, GraphQL) giving clients self-serve transaction access and reducing ad-hoc support requests by an estimated 25%. Delivered AWS-hosted services with JWT authentication, comprehensive NUnit/xUnit test coverage, and Azure DevOps deployment pipelines with 0 auth-related incidents post-launch.

Completed a B.Sc. in Software Development and Entrepreneurship at the Estonian Entrepreneurship University of Applied Sciences in Tallinn from 2020 to 2024.

Completed Huawei ICT Academy Nigeria Level I & II certification in Telecommunications Power in 2017.

Completed a Level I certification in Health, Safety, Security and Environment in 2016.

Earned a B.Eng. in Mechanical Engineering at the Federal University of Agriculture, Abeokuta from 2009 to 2014.