Oladipo is a Senior Full-stack Developer with 10+ years of experience delivering stable, secure, and scalable solutions using Java, TypeScript, JavaScript, Python, PHP, Node.js, Angular, Linux, AWS, and Google Cloud. Working across the full SDLC, he gathers requirements and provides support and maintenance following Agile methodologies. Staying up to date with cutting-edge industry concepts, Oladipo leverages advanced practices to optimize software development, designing and implementing distributed systems, Bash scripting, scaling applications with container orchestrators like Docker Swarm, and implementing microservices.
Researched, designed, and developed a RAG-based AI chatbot assistant for citizens of Louisville to access government services, information, and other resources.
Developed a notification service for lien holders in Louisville using Laravel PHP, AWS S3, Granicus GovDelivery API, and Lando (Docker).
Architected and developed with agents in AWS Bedrock, Python, Claude LLMs, LlamaIndex, and AWS OpenSearch.
Built and deployed GIS-powered decision-support tools to augment infrastructure solutions affecting 200 million Nigerians.
Designed and implemented GIS features on the front end and back end using MVC frameworks in PHP, JavaScript, jQuery, ArcGIS, OpenLayers, and SQL Server.
Developed and fixed issues to deliver on time and with the highest quality.
Worked on database design and Linux cloud administration.
Worked on a project in collaboration with the United Nations - World Food Program, Federal Ministry of Humanitarian Affairs, Disaster Management, and Social Development - building a dashboard to display various vulnerable groups in Nigeria, giving a percentage of the population living with inadequate diet and livelihood based coping strategies. The dashboard comes as a Power BI solution and a web app helping to support stakeholder decisions. Created the visualizations and developed the dashboard on the project.
Developed and deployed a solution for the Revenue Mobilization Allocation and Fiscal Commission (RMAFC), helping to monitor revenue inflows and disbursement to states, LGAs, and the federal government. The solution generates indices based on raw data gathered from each LGA in the country. Worked on developing solutions for the indices and payment generation features of the system.
Implemented a RAG system with AI agents to automate medical billing. The solution extracted information from patient charts, encoded diagnoses into the ICD-10 format, and generated the appropriate CPT codes for the care provided. Additionally, the agents retrieved the associated costs for each CPT code from a vector store, ensuring accurate billing. This streamlined the process, reduced manual effort, and improved efficiency.
ReportHub automates the daily reporting workflow tailored to the needs of the humanitarian partners and clusters on the project. The analytics engine helps to process business indicators for decision support through interactive dashboards in real time. Implemented full-stack features on the solution, improving performance by 70% in over 190 organizations and 850+ projects.
Education
MSc Business Analytics
University of Louisville
2025 - 2025
Applied Data Science Program
MIT Professional Education
2024 - 2024
B.Tech Electrical and Electronics Engineering
Ladoke Akintola University of Technology (LAUTECH) - Nigeria