Sam Idowu Email & Phone Number

Toronto, On, Ca

Toronto, Ontario, Canada

* Developed, maintained, deployed, and load tested large-scale web applications which enabled users import and upload tax documents seamlessly across various platforms.* Aligned with product managers and customers to better understand implementation details of tax software applications leading to improved user experiences.* Engineered a caching solution for tax forms metadata, improving system efficiency and reducing API call frequency to downstream service.* Addressed and resolved multiple security vulnerabilities flagged by Snyk in a timely manner, ensuring compliance with security standards and reducing potential risks.

NIKE - Global Case Management* Utilized AWS Lambda to create an algorithm for generating configuration payloads for multiple cases. This solution involved comparing current and previous versions of payload files from an S3 bucket.* Led the transition from a manual deployment process to an automated deployment system using Jenkins, significantly reducing the potential for errors by 40% and enhancing the efficiency of rollback procedures.* Partnered with the order processing, fulfillment, automation teams, and QA engineers to design and implement APIs and event handlers for managing order fulfillment failures, resulting in a 20% reduction in failure logs.* Participated in new team member onboarding, offering support and guidance, and service context.* Conducted load testing to gain clarity on system thresholds, leading to targeted optimizations and improvements.

Greater Toronto Area, Canada

NIKE - ORDER MANAGEMENT ORDER FULFILMENT* Designed and constructed a Hotspot detector tool to assist the OMOF team in identifying critical areas for efficient incident platform alert resolution; reduced incidence response time by 25 minutes.* Automated data retrieval by scraping Slack channels for alert information. Engineered payloads for APIGateway, initiating AWS Lambda for data normalization and storage in DynamoDB.* Automated notifications, file format transformations, and data uploads to AmazonS3/DynamoDBemploying AWS Lambda, Amazon SNS, and Eventbridge, significantly improving operational efficiencywhile reducing manual errors.

* Implemented algorithms for classification of shapes and objects on a robot making it more competitive in sports applications.* Pair-programmed to develop algorithms for facial recognition on robot. This implementation enhanced the ability of the robot to interact with humans and recognize faces, setting the basis for more human interfacing features.* Conducted rigorous testing of algorithms to verify and optimize code performance.