Adewole Kehinde Isaac

Architected an AI-driven notification and automated reporting system and built a contextual RAG chatbot using DeepSeek and all-MiniLM embeddings. Developed full-stack tooling to monitor Starlink Mesh Routers, implemented RBAC admin panels, and contributed to Flutter/Kotlin mobile and AI-powered event planning applications.

Engineered predictive diagnostic models and specialized multimodal AI agents using Qwen LLM with a Retrieval-Augmented Generation (RAG) pipeline for evidence-based clinical recommendations. Built end-to-end AI automation pipelines and localized AI chatbots for symptom checking and epidemiological monitoring using n8n workflows and real-time database synchronization.

Analyzed user data to derive meaningful insights and prepared trend analysis to facilitate decision-making. Conducted data preprocessing to ensure accuracy and consistency and created dashboards to visualize and present findings to the team.

Conducted needs assessments and market research to identify emerging trends and skills, increasing student enrollment by 23%. Interpreted results using statistical techniques and produced reports and presentations, contributing to 10+ partnerships with industry organizations.

Drove user base and revenue growth, increasing company revenue by over 300% and expanding market share. Supervised company activities to improve productivity by 17%, using data analysis and statistical reporting to support teamwork and project success.

Analyzed and visualized research data and developed models for academic research, achieving 98% accuracy across research outcomes. Supported research delivery through model-based results and validated findings.

Pursuing a PGD in Computer Science at the University of Abuja beginning April 2026 (in view).

Earned a BSc in Microbiology at the University of Abuja from January 2017 to February 2022.