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AI Automation Engineer with 5+ years in AI, Data Management & Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I regularly post data science projects, AI projects, and insights on LinkedIn to foster engagement and knowledge-sharing.
Yaba College of Technology
H.N.D · Computer Science
N/A – June 30, 2021
Codebasics
AI Automation Engineer
January 1, 2025 – Present
USA
Blumbit
Data Manager
August 1, 2024 – Present
USA
Vephla
Data Analyst
July 1, 2023 – May 1, 2025
United States
Predictive Health Insurance Model for Shield Insurance
September 1, 2025 – Present
Built and deployed a 97%+ accuracy ML model to predict health insurance premiums using factors such as age, BMI, smoking habits, and medical history. Developed an interactive Streamlit web app and deployed it on the cloud, enabling underwriters to generate real-time premium predictions with <10% error for 95% of cases.
View ProjectAgentic AI Coding Assistant
September 1, 2025 – Present
Built an AI-powered coding assistant that mimics a multi-agent development team (Planner, Architect, Coder agents), transforming natural language prompts into complete, functional applications. Implemented debugging workflows and agent coordination with LangGraph, enabling automated project planning, code generation, and file management for mini-apps like a To-Do app.
View ProjectExpense Management System
August 1, 2025 – Present
Designed and implemented a Streamlit frontend with a FastAPI backend to manage and track expenses efficiently. Built a modular project structure with frontend, backend, and test suites, ensuring maintainability and scalability.
View ProjectData Analytics
Vephla University
June 1, 2026 – Present
Data Science
Codebasics
June 1, 2026 – Present
Career Essentials in Generative AI
Microsoft and LinkedIn
June 1, 2026 – Present
Data Science
Vephla University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from predictive health models to agentic AI coding assistants and expense management systems, indicates a broad interest in applying AI/ML to various domains. Their current and past roles as 'AI Automation Engineer' and 'Data Manager' align well with the target role, showcasing a career trajectory focused on automation and data-driven solutions. The certifications in Data Analytics, Data Science, and Generative AI further demonstrate a commitment to continuous learning and staying current with industry trends. The candidate's active participation in sharing knowledge on LinkedIn also suggests a collaborative and community-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project descriptions, particularly in automating complex workflows and building predictive models. Their experience in leading a remote team and collaborating with faculty/administrators suggests good teamwork and stakeholder engagement. The focus on efficiency improvements (reducing inquiries, processing time, reporting time) indicates a results-oriented approach. However, specific details on stress handling or direct team collaboration styles are not explicitly provided in the resume.