OJO SAMUEL ADEKANMI

Results-driven AI & Machine Learning Engineer

Lagos, NG.

About

Highly analytical Graduate Engineer with a Master's focus in AI, specializing in integrating machine learning, computer vision, and predictive modeling to enhance system efficiency and user experience. Proven ability to translate complex data into actionable insights, driving digital transformation and customer-focused technology solutions. Eager to apply advanced AI expertise and cross-functional collaboration skills to impactful roles, particularly within innovative organizations like Samsung Electronics West Africa.

Work

Oneness Transport & Haulage Ltd

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Associate Engineer

Ogun State, Ogun State, Nigeria

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Summary

Managed and optimized heavy-duty truck maintenance operations, ensuring vehicle uptime and adherence to safety and operational standards.

Highlights

Executed precise assembly and disassembly of heavy-duty truck components, ensuring optimal functionality and longevity.

Performed comprehensive engine servicing, troubleshooting, and corrective repair activities, reducing downtime and extending vehicle lifespan.

Maintained structured logs of all maintenance operations, ensuring compliance with safety standards and operational protocols.

Collaborated with senior technicians to enhance vehicle uptime and improve overall efficiency through proactive maintenance strategies.

Niji Groups of Companies

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Process Engineering Intern

Oyo State, Oyo State, Nigeria

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Summary

Contributed to the production of food-processing products and optimized machinery for agro-processing operations, ensuring quality and efficiency.

Highlights

Participated in the production of diverse food-processing products, including garri, yam flour, and cassava derivatives, supporting agricultural value addition.

Designed and optimized specialized machinery, such as flash dryers, to enhance agro-processing operations and improve production throughput.

Supported equipment maintenance, troubleshooting, and conducted root-cause analysis to minimize operational disruptions and extend machinery life.

Performed rigorous quality assurance checks on production lines, ensuring strict adherence to process SOPs and product quality standards.

Sandel Engineering Services

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Engineering Intern

Ile-Ife, Osun State, Nigeria

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Summary

Assisted in the design, fabrication, and quality inspection of agricultural machines, applying engineering concepts to solve practical challenges.

Highlights

Assisted in the design and fabrication of advanced agricultural machines, including 3D-3P rotary dryers, enhancing efficiency in agricultural processes.

Applied core engineering concepts to effectively solve practical fabrication and equipment challenges, improving project delivery timelines.

Contributed to the rigorous testing, validation, and quality inspection of process machines, ensuring high performance and reliability.

Supported the development of innovative equipment specifically targeting agricultural value-addition industries, promoting sustainable growth.

Volunteer

Member

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Lagos Food Bank

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Assisted with critical food distribution and developed outreach content to support families and raise awareness on nutrition and food security.

Highlights

Assisted with efficient food distribution to vulnerable families, directly impacting food security and community well-being.

Created helpful outreach content to raise awareness on nutrition and food security, educating and empowering community members.

Member

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Pep-Power Initiative

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Led a grassroots waste-to-resource project focused on sustainability and innovation, driving community engagement and environmental impact.

Highlights

Led a grassroots waste-to-resource project, fostering sustainability and innovation within the community.

Engaged stakeholders and community members to drive participation in waste management and resource optimization initiatives.

Education

University of Ibadan

Ibadan, Oyo State, Nigeria
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Master of Science Computer Science (Artificial Intelligence Specialization) Grade:

Courses

Machine Learning

Deep Learning

Data Analytics

Computer Vision

AI-driven systems

Intelligent Automation

Obafemi Awolowo University

Ile-Ife, Osun State, Nigeria
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Bachelor of Science Agricultural & Environmental Engineering Grade:

Courses

Engineering Systems

Process Optimization

Applied Technology

Royal Comprehensive High School

Modakeke-Ife, Osun State, Nigeria
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Secondary School Certificate Grade:

Languages

English Language

Yoruba

Certificates

Generative AI and LLMs: Architecture and Data Preparation

IBM

McKinsey.org Forward Program

McKinsey.org

AI skills accelerator program

Crash Course on Python

IBM Data Science Fundamentals

IBM

Predicting Employee Turnover Using IBM Watson

IBM

Identifying Potential Repeat Customers for Business

IBM

Skills

Programming & AI Tools

Python, SQL, Git/GitHub, Pandas, NumPy, Scikit-Learn, XGBoost, SHAP, TensorFlow/PyTorch (Basic), Jupyter.

AI & Analytics

Machine Learning, Time-Series Forecasting, Computer Vision, Deep Learning (CNNs), Feature Engineering, Model Evaluation.

Engineering

Equipment Design & Fabrication, Machinery Assembly & Disassembly, Engine Servicing, Process Plant Operations, Quality Control.

Soft Skills

Problem-Solving, Leadership, Communication & Presentation, Collaboration, Time Management.

References

References

Available on Request

Projects

AI Symptom Tracker (Computer Vision Prototype)

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Summary

Developed a real-time computer vision pipeline to detect fatigue and stress indicators, exploring applications in mobile health assessments and community triage.

Intelligent Customer Support Assistant

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Summary

Designed an AI system to automate customer query responses using ML-powered classification, integrating Google Gemini API for complex case escalation.

Customer Churn Prediction System

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Summary

Developed machine learning models with XGBoost to identify at-risk customers and applied SHAP for model explainability, supporting proactive retention strategies.

Retail Sales Forecasting Engine

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Summary

Built time-series forecasting models to project sales trends, seasonality, and demand surges, executing data cleaning, feature engineering, and performance evaluation.

AI-Based Snakebite Risk Assessment Model

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Summary

Created geospatial predictive modeling to map high-risk areas for snakebites, guiding anti-venom deployment and supporting rural health planning with AI-driven insights.

3D AI Organ Failure Risk Prototype

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Summary

Supported the development of a deep-learning based 3D risk evaluation framework for early organ failure detection, contributing to research and architectural testing.

Medical Document Enhancement using CNNs

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Summary

Designed and trained convolutional neural networks to enhance scanned prescriptions and handwritten medical notes, improving readability and digitization of low-quality records.