Data Entry Clerk Applicant with Tech-Driven Precision

Taiwo Ogunkola

**************@*****.*** 070******** Lagos, Nigeria

linkedin.com/in/taiwo-ogunkola-59348820a github.com/James-clint Education

B.Tech. Computer Engineering, Ladoke Akintola University of Technology(LAUTECH) Second Class Upper Division

2018 – 03/2024

Ogbomoso, Nigeria

Profile

High-achieving Computer Engineering graduate and certified Computer Vision Engineer with a multidisciplinary background in Embedded Systems, IoT, and AI driven automation. Proven expertise in designing real-time monitoring solutions and sustainable power systems. Passionate about leveraging advanced technology to drive the global energy transition and optimize operational efficiency. Seeking to apply technical skills in data driven innovation and hardware-software integration within a forward thinking, technology driven organization. Professional Experience

Undergraduate internship, Shelter Electronics Laboratory

•Gained hands-on expertise in hardware programming, power management, embedded systems, and solar technologies.

01/2023 – 05/2023

Ogbomoso, Nigeria

•Contributed to the design, building, and installation of a 2.5KVA inverter system, supporting renewable energy integration and reliable power supply.

•Conducted sensor selection research for smart access-control systems, demonstrating strong problem-solving for real-time monitoring applications. Skills

Programming and Hardware

Python, Arduino (Embedded Systems), SolidWorks (3D Modeling)

Deployment & Data Tools

Streamlit, Ngrok, Supabase, Kaggle, Hugging Face

Model Hub

IoT & Sensors

Blynk IoT Platform, Sensor Integration (Moisture,

Nitrogen), Real-Time Data Monitoring & Automation

AI, Computer Vision & Deep Learning

OpenCV, MediaPipe, Ultralytics YOLO, Roboflow

PyTorch, TensorFlow/Keras, CNNs, Hugging Face

Transformers, Vision Transformers

Projects

Real-Time IoT-Based Smart Fertigation System for Precision Agriculture

(Published) 2024

•Developed an automated IoT system with real-time soil moisture and nitrogen monitoring using embedded sensors and custom algorithms.

•Enabled remote asset monitoring and control via Blynk IoT platform, reducing resource waste and improving efficiency.

2024

•Published in Journal of Computer Science and Its Applications (Vol. 31, No. 2, December 2024).

Hand Gesture Recognition System (Computer Vision)

•Built a real-time static hand gesture detection system (thumbs up, fist, peace sign, etc.) using MediaPipe, OpenCV, and Ultralytics YOLO.

•Deployed as a web application using Streamlit.

01/2026

Smart Farmer Weather App – NYSC DL4ALL CDS Hackathon (Niger State Entry)

•Developed a full-stack smart farming application with real-time weather integration, crop management, and personalised alerts.

•Implemented backend with Supabase for secure data handling and real-time updates.

June 19 /2025 –

July 25/ 2025

•Live Demo: https://zippy-hamster-2b71bc.netlify.app/ Publications

Real-Time IoT-Based Smart Fertigation System for Sustainable and Precision Agriculture

J.P. Oguntoye, A.A. Olayiwola, T.G. Ogunkola, J.O Fanibuyan, R.A. Ganiyu, D.S. Olayiwola

JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 31, NO.2, DECEMBER 2024

12/2024

Certificates

Computer Vision Engineer

Certification – Federal

Government 3MTT Initiative

Verification:

https://app.3mtt.training/verify?

id=FE/25/649*******

NYSC Completion Certificate

A006062167

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