Nigeria

Front-end

Back-end

Full stack

AI/ML Engineering

University of Ibadan

Bukola Sobowale

Lead Backend and Infrastructure Engineer

Communication

Collaboration

Problem-solving

Critical-thinking

Team player

Organisation skills

Presentation skills

Leadership

Analytical skills

AI/ML

Integration Testing

Unit Testing

React

Docker

GitHub

JavaScript

REST API

MongoDB

Redis

PostgreSQL

Node.js

- Designed and implemented a scalable backend architecture using Node.js and TypeScript to support autism waiver program
workflows.
- Developed a custom scheduling API, enabling optimised therapy session management with conflict resolution.
- Ensured secure data handling by integrating HIPAA-compliant protocols and encrypting sensitive user information.
-  Built and maintained a real-time notification service using WebSockets, improving carer and family communication.
- Designed and optimised RESTful APIs for seamless integration with the front-end and third-party behavioural tracking tools.
- Deployed the backend system on AWS, leveraging services like Lambda, S3, and RDS for scalability and cost-efficiency.
-  Conducted database schema design and optimisation for PostgreSQL, ensuring high performance and reliability.
-  Enhanced code quality and maintainability by implementing unit and integration tests with Jest and Cypress.

- Overcame technical challenges and enhanced development efficiency in the codebase by increasing unit test coverage from 0% to 95%.
- Optimised and improved code integration and deployment efficiency by 40%.
- Improved software engineering practices across the development team, including writing/maintaining technical documentation.
- Reduced the overall latency of the backend server by sharding and denormalising the read-heavy queries and introducing the
precomputation of data with database triggers in the program's objectives for the Return on Investment (ROI)
methodology used by 70,000 learning professionals worldwide.

- Researched, designed, implemented, and managed the entire backend architecture for 18,000 households (users), 1,000
collectors (recyclers), and 20 operator dashboards, ensuring a scalable and efficient system.
- Developed a custom-enhanced geofencing algorithm for connecting nearby collectors with different household users which
aided in saving over £60k annually.
- Extensively integrated the Google Maps API in building location-centric smart waste applications.
- Built real-time communication video and audio modules using sockets, the PubNub API, the Vonage API, and React.js for a
seamless front-end experience. Incorporated and managed wallet systems in web and mobile applications.
- Handled continuous integration, continuous delivery, and deployment across multiple applications, achieving a 99.9999%
service level agreement.

Bukola Sobowale🇳🇬

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