B.Tech Geology • 3X Hackathon Winner • Machine Learning Engineer • Ex-Intern @Shell • CS x DS & Research Fellow @MIT Emerging Talent • Python Dev • GIS Analyst
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Pandora-Labs
April 30, 2026 – Present
Pandora Labs — AI-powered ops assistant for startups
View ProjectRelayPay-AI-Voice-Agent
April 9, 2026 – Present
VAPI-powered voice & chat customer support agent for RelayPay. React + Tailwind frontend, n8n workflow backend with AI Agent, Pinecone RAG, Airtable escalations, Slack notifications, and Google Calendar booking.
View Projectcontent-generation-publishing-automation
March 24, 2026 – Present
content-generation-publishing-automation — repository
View ProjectSmartATMNet
October 30, 2025 – November 1, 2025
A data-driven platform leveraging AI and real-time analytics to optimize ATM operational efficiency — enhancing uptime, predictive maintenance, and engineer performance tracking for banks across Nigeria.
View ProjectMIT-ET-Capstone-Project
September 23, 2025 – December 6, 2025
Lithological Classification of Geophysical Well logs using Deep Learning (ANN) on the FORCE 2020 dataset. Features an automated data pipeline, 10-fold cross-validation, and methods for handling severe class imbalance. ELO Capstone Project for MIT Emerging Talent (Cohort 6).
View ProjectNeuroClaim
June 19, 2025 – June 20, 2025
NeuroClaim is an AI-driven claims management system designed to automate insurance claims processing.
View ProjectAcademic-Research
May 30, 2025 – Present
Research project on the Application of Machine Learning for Lithology Classification using Geophysical Well Logs.
View ProjectGIS-Projects
August 11, 2024 – February 5, 2025
Welcome to my GIS Projects Portfolio! This repository contains a collection of my Geographic Information System (GIS) projects, showcasing my skills and experience in geospatial data analysis and mapping. Each project demonstrates my ability to handle spatial data, conduct thorough analyses, and create insightful visualizations.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, indicating self-motivation and a passion for applying technology to solve problems. The projects span various domains, from deep learning and GIS to AI-powered assistants and financial systems, suggesting a broad interest and adaptability which could contribute positively to a dynamic team environment. The focus on AI and data-driven solutions aligns well with a Data Scientist role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and project-oriented approach. The diversity of projects suggests adaptability and a willingness to explore different technical domains. However, without psychometric test results, specific soft skills and operational fit cannot be fully assessed.