OLUWATOMIWA AJIFERUKE
Little Rock,AR
Summary
Results-driven Full Stack Engineer with 5+ years of experience developing scalable web and mobile applications using React, Node.js, and AWS. Skilled in building RESTful APIs, managing CI/CD pipelines, and deploying cloud-native applications. Proven success in Agile teams, with strong focus on performance, accessibility, and test-driven development (TDD).
Overview
10
10
years of professional experience
1
1
Certification
Work History
Business Intelligence Intern
Carti Cancer Center
06.2024 - 05.2025
- Designed and optimized T-SQL queries and data pipelines using Microsoft SSIS for reporting and analytics.
- Built internal dashboards using MS Report Builder and Excel; contributed to frontend development using HTML, CSS, and JavaScript.
- Automated business workflows using Power Apps, Power Pages, and Power Automate.
- Maintained legacy data scripts in Python and STATA.
Graduate Assistant – AI & Automation Projects
Emerging Analytics Center, UA Little Rock
10.2023 - 08.2024
- Developed an AI-powered UI Generator using OpenAI GPT-4 and vector databases.
- Created webhook listeners in Node.js to automate workflows with Jira, Confluence, and Bitbucket.
- Built an NER (Named Entity Recognition) React app for document parsing and trained a custom model with research datasets.
- Authored technical papers using LaTeX and Overleaf.
Software Engineer
ALLPAC Technologies
12.2019 - 12.2022
- Built full-stack applications using React, Node.js, Java, and MongoDB.
- Refactored large-scale ReactJS codebase and improved app load time via lazy loading and optimized routing.
- Created secure API endpoints, role-based access controls, and integrated SSO.
- Led CI/CD initiatives using TravisCI, Fastlane, and AWS deployment pipelines.
- Deployed apps to Play Store and App Store.
Software Developer
Mabo Brand Concept Ltd
02.2015 - 11.2017
- Developed and maintained WordPress-based marketing websites.
- Created backend services using PHP and Laravel with MySQL databases.
- Implemented Node.js APIs to support frontend applications.
- Designed Redux data structures and integrated 3rd-party libraries into React interfaces.
Education
Master of Science - Information Science
University of Arkansas At Little Rock
Little Rock, AR05-2025
Higher National Diploma (HND) - Computer Science
The Federal Polytechnic Ede
01.2021
National Diploma (ND) - Computer Science
The Federal Polytechnic Ede
01.2017
Skills
- Languages: JavaScript, TypeScript, Python, PHP, Java
- Frameworks: Reactjs, Nextjs, Nodejs, Expressjs, NestJS, React Native, Laravel
- Databases: MongoDB, MySQL, SQLite, Firebase
- Cloud & DevOps: AWS (S3, EC2, CloudFormation, CodePipeline), Heroku, DigitalOcean, Docker
- Build & Testing: Git, GitHub, Jest, Enzyme, Postman, NPM, Yarn, Gulp
- CMS & Tools: WordPress, JIRA, Power Platform, XAMPP, VS Code
- Methodologies: Agile (Scrum), TDD, SDLC, CI/CD
- Web Technologies: HTML5, CSS3, SASS, TailwindCSS, Bootstrap, jQuery, AJAX
- Mobile: React Native, Galio, Expo
Certification
- The Ultimate JavaScript Course (Code With Mosh) - 2019
- Advanced React Native & React.js (Code With Mosh) - 2020
- The Ultimate Docker Course (Code With Mosh) - 2021
Accomplishments
- Top 12 - Naijahacks Hackathon (2019)
- Top 10 - European Global Tech Innovation (2019)
- Top 50 - Union Bank Nigeria Rise Challenge for COVID19 Innovations (2020)
Publications
- Leveraging Advanced Technologies to Improve Telemedicine Delivery in Nigeria World Journal of Advanced Research and Reviews – March 21, 2025 Explores infrastructure, policy, and data challenges in telemedicine deployment. Recommends clear telehealth policy, better infrastructure, improved communication, and data security standards for effective implementation in Nigeria.
- Effect of Information Communication Technology and Immunization on Infant Mortality in Nigeria World Journal of Advanced Research and Reviews – March 17, 2025 Analyzes 2001–2023 data linking mobile/internet access and immunization to reduced child mortality. Emphasizes the role of digital health solutions in improving healthcare outcomes in developing regions.
- Mapping Prompts to NLP Models for UI Generation Emerging Analytics Center, University of Arkansas at Little Rock Introduces the AI Prompt-UI Generator – a system mapping natural language prompts to UI components using NLP and AI models. Demonstrates the use of Next.js, Tailwind CSS, Rust, Google Storage, PostgreSQL, and Qdrant for building customizable UI with generative AI.
Languages
English
Full Professional
Timeline
Business Intelligence Intern
Carti Cancer Center
06.2024 - 05.2025
Graduate Assistant – AI & Automation Projects
Emerging Analytics Center, UA Little Rock
10.2023 - 08.2024
Software Engineer
ALLPAC Technologies
12.2019 - 12.2022
Software Developer
Mabo Brand Concept Ltd
02.2015 - 11.2017
Higher National Diploma (HND) - Computer Science
The Federal Polytechnic Ede
National Diploma (ND) - Computer Science
The Federal Polytechnic Ede
Master of Science - Information Science
University of Arkansas At Little Rock
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