🌟 Dynamic, result-oriented, and innovative Software Engineering Professional with a passion for leveraging agile methodologies to spearhead the software development life-cycle from concept to completion. I deliver robust, scalable, and secure backend solutions, optimize system efficiency, and drive process improvements.

• Project Management & DevOps: Skilled in managing end-to-end project lifecycles and implementing DevOps practices to enhance productivity and collaboration.
• Microservices Architecture: Expert in designing and developing microservices-based applications for seamless scalability and maintainability.
• AI & ML Application: Proficient in integrating AI/ML models to drive data-driven decision-making and enhance user experiences.
• Team Collaboration: Adept at working cross-functionally with stakeholders to deliver innovative solutions that meet business goals.

🎯 I am currently seeking Junior Backend Engineering opportunities to advance my software engineering skills and contribute to innovative projects. If you have a position that fits my profile, I would love to connect and explore how I can add value to your team!

• Backend Development: Python, Flask, NodeJS
• Cloud Development: Azure, AWS, Heroku, Firebase, GCP
• Database Management: SQL, NoSQL, MySQL, MongoDB, PostgreSQL, Redis, Firestore
• DevOps & Tools: Docker, Git, GitHub, NginX, Bash, Vim, SSH, RESTful API, JWT
• Programming Languages: Python, JavaScript, C, HTML, CSS

• Technologies: Python Flask, Firestore, Firebase Cloud Functions, AI/ML
• Description: Developed the web backend for a public safety mobile app, incorporating user management, web scraping, data cleaning, geolocation, and AI-driven sensitivity analysis for graphical user insights.

• Technologies: NodeJS, Azure Table, AppService, AWS S3, Route54, CloudFront
• Description: Created cost-effective API services with user authentication utilizing multi-cloud architecture, powering media content availability for faith-based website visitors.

• Technologies: Python Flask, IBM WatsonAI, Jinja
• Description: Developed and deployed a web application employing IBM Watson AI for real-time advanced emotion detection and sentiment analysis on customer feedback.

• Responsibilities:
  • Troubleshot and debugged a text/authorship obfuscation neural network PyTorch model.
  • Architected secure user management solutions, enhancing staff productivity and data security.
  • Integrated geographic incident visualization, sentiment analysis, and predictive AI models in web applications.

• Responsibilities:
  • Facilitated onboarding and training sessions for new ICT teachers.
  • Designed, developed, and assembled autonomous robotic prototypes.
  • Deployed Coding, AI, and robotics curriculum to public secondary schools.

• Responsibilities:
  • Developed scalable backend systems using Python (Flask) and JavaScript (Node.js).
  • Simplified digital asset tracking with Cloudinary and PostgreSQL.
  • Configured and maintained Nginx and Linux servers for high system availability.

• Master of Technology | Land Transport Management | Federal University of Technology Akure, Ondo State
• Bachelor of Technology | Transport Management Technology | Federal University of Technology Akure, Ondo State
• Certifications:
  • ALX Software Engineering Training
  • Developing AI Applications with Python and Flask - IBM via Coursera
  • JavaScript & Data Structure - FreeCodeCamp
  • SQL - Solo Learn

• Email: [email protected]