EMMANUEL ALAWODE

• Working on one of Atlassian's most crucial products - the Atlassian Frontend Monorepo (AFM) that powers key frontend services across the platform
• Optimized feature gates and configuration systems achieving 22x better performance in initialization times and evaluation times, saving approximately $170K per year through reduced build times compared to legacy systems
• Reduced incidents by safely enabling safe release features for critical monorepo components including Yarn plugins, custom CLI tools, and various build tools
• Developed dynamic pipeline providers that integrate seamlessly with Bitbucket Pipelines for automated deployment workflows
• Resolved critical bugs in dependency resolution between custom AFM CLI and Yarn CLI, ensuring system stability
• Enabled progressive deployment of base Docker images used in Bitbucket builds, improving deployment reliability and efficiency

• Implemented a 1-tier case categorization micro service using Azure Language Service, reducing agent workload by 50% and achieving 87-94% f1 score. Also developed a 2-tier LLM prompt-based micro-service for flexible categorization. This also involved building an end to end machine learning training and deployment pipeline.
• Led the migration of multiple 5+ TB databases from Azure SQL Server to Azure Synapse Link, ensuring business continuity for 20+ teams and improving data security and storage efficiency.
• Successfully built a self-onboarding tool to streamline the onboarding of model apps used by various procurement and financial services within Microsoft. This helped to reduce the amount of time and effort spent by SWEs in onboarding new apps by ~40%.
• Redesigned a data pipeline for audit and record updates, transitioning storage from SQL tables to Parquet files in Azure Blob Storage for improved scalability and performance.
• Designed and implemented a system for cross-team data sharing, setting up secure APIs and data schemas to enable seamless customer service.
• Implemented CI/CD pipelines to test and deploy Azure Functions, integrating automated UI testing with Selenium to ensure deployment quality.

• Company Overview: www.cozenosports.com
• Successfully designed and implemented the entire backend infrastructure for Cozeno Sports, leading to a seamless beta release.
• Developed and maintained comprehensive data processing and storage solutions using Azure SQL, ensuring efficient, secure, and scalable data management.
• Created and deployed all backend services, including robust authentication systems, AI-powered suggestions with OpenAI, feature notifications, feature flagging, and RESTful APIs.
• Implemented advanced analytics services to provide actionable insights and enhance user experience.
• Established and maintained a DevOps infrastructure with CI/CD pipelines, ensuring smooth and efficient deployment processes.
• Coordinated all database-related activities, optimizing performance and reliability to support the company's growing needs.

• Built a service monitoring system using Python and Scikit-Learn, conducted in-depth data analysis to understand service health, and implemented a Machine Learning model with over 90% accuracy through ensemble training.

• Developed a proof of concept for the MSN website to enhance user engagement, implementing a full-stack solution with React, .Net Core, and Azure Functions, while establishing CI/CD pipelines and deploying containerized micro-services with Docker and Service Fabric.