About
A highly accomplished Software Engineer and Data Scientist with 4+ years of experience across enterprise application optimization, scalable API development, advanced data pipeline engineering, and AI/ML model deployment. Proven ability to drive significant improvements in system performance, data processing efficiency, and campaign conversion rates, leveraging expertise in C#, Python, cloud platforms (AWS, GCP), and deep learning frameworks. Eager to apply a robust blend of technical acumen and data-driven problem-solving to complex challenges in a forward-thinking organization.
Work
International Institute of Tropical Agriculture
|Software Engineer
Ibadan, Oyo State, Nigeria
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Summary
Currently engineering and optimizing enterprise applications, developing scalable RESTful APIs, and migrating legacy systems to cloud-based microservices to enhance performance and reduce costs.
Highlights
Engineered and optimized enterprise applications using C#, .NET Core, and ASP.NET, improving system performance and reducing processing time by 15%.
Developed and deployed scalable RESTful APIs with ASP.NET Web API and GraphQL, significantly enhancing system interoperability.
Optimized Oracle database queries using PL/SQL and Entity Framework, reducing query execution time by 40%.
Strengthened system reliability by implementing JWT authentication and OAuth, ensuring secure access management for critical applications.
Led the migration of internal legacy systems to a cloud-based microservices architecture, successfully reducing infrastructure costs by 20%.
Yoto Incorporation
|Data Scientist
United Kingdom, Remote, United Kingdom of Great Britain and Northern Ireland
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Summary
Built and optimized ETL pipelines, conducted A/B testing, and developed AI-driven and machine learning solutions to enhance data quality and campaign performance.
Highlights
Built and optimized high-quality ETL pipelines using Apache Spark, SQL, and Airflow, ensuring robust data availability for analytics.
Conducted A/B testing and statistical modeling with Python, Scipy, and Statsmodels, increasing campaign conversion rates by 18%.
Deployed AI-driven solutions on AWS (SageMaker, Lambda) and GCP AI, optimizing model inference times by 5%.
Automated data preprocessing and feature engineering with Pandas and Numpy, reducing manual effort by 25%.
Developed scalable machine learning models using Python and TensorFlow, leveraging cloud-based distributed computing for enhanced performance.
Tech For Good Inc.
|AI & Machine Learning Intern
Boston, Massachusetts, US
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Summary
Built a Generative QA system and developed an AI-based driver drowsiness detection model during an internship.
Highlights
Built a Generative QA system utilizing Dense Passage Retrieval (DPR) and Retrieval-Augmented Generation (RAG) with PyTorch, demonstrating advanced NLP capabilities.
Developed an AI-based driver drowsiness detection model using computer vision and deep learning techniques, contributing to enhanced road safety.
Volunteer
Amazon Web Services
|Community Builder, Machine Learning
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Summary
Led AI/ML knowledge sharing, created technical content, and developed real-world case studies to promote AWS AI/ML services and increase adoption.
Highlights
Led AI/ML workshops and webinars, significantly enhancing knowledge sharing and community engagement.
Created technical blogs and open-source projects, effectively advocating for AWS AI/ML services.
Developed real-world case studies demonstrating AWS/ML applications, increasing adoption among thousands of university students.
Collaborated with cross-functional teams to showcase impactful machine learning use cases to a broad audience of learners.
Education
Ekiti State University
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B.Sc.
Computer Science
Skills
Languages
C#, Python, JavaScript, SQL.
Technologies
Flask, Django, Node.js, .Net Core, ASP.NET, MySQL, MongoDB, Git, Docker, Kubernetes, Kafka, OpenCV, PyTorch, TensorFlow.
Cloud & DevOps
AWS (Lambda, SageMaker, Redshift, EC2), Google Cloud Platform.
Methodologies
Agile, Scrum, OOP, Functional Programming, Microservices, System Design, DevOps, CI/CD, TDD.