Senior Android Software Engineer with AI & Cloud Expertise

EDUCATION

Northern Kentucky University, Highland Heights, Kentucky.

Bachelor’s degree in computer science – 2.99/4.00 GPA City University of Seattle, Seattle, Washington.

Master’s degree in computer science – 3.984/4.00 GPA TECHNICAL SKILLS

Programming Languages: Java/J2EE, C++, C, Python, Kotlin, R. Development Tools: Git (CI/CD pipelines), IntelliJ IDEA, Android Studio, Visual Studio, VS Code, Docker, Jupiter Notebook. AI Coding Editors: Copilot, Google Gemini, Claude Code. Operating Systems: Windows, Linux, AWS Linux operating systems, Mac OS. Database Systems: MySQL, MongoDB, Firebase, Firestore, DynamoDB, Room Database, AWS S3, ChromaDB. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform. Web Technologies: HTML, CSS, Express JS, Node JS, React JS, Spring Boot. Software Engineering: Agile methodologies, Test-driven development, OOP, Jira and Software design patterns. Machine Learning Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, Pandas, NumPy. WORK EXPIRIENCE

Software Engineer III – Android AtoZ Employee Mobile Application, PXT Amazon.com, Inc May 2019 - Present

• Reduced app loading time by 40% through optimization of GraphQL queries and implementing efficient caching strategies, impacting daily experience of 1M+ Amazon employees globally.

• Achieved 94.9% crash-free rate while delivering 15+ major feature releases including benefits portal and time card management system using Kotlin and Jetpack Compose.

• Decreased API response time by 50% through strategic implementation of AWS services (Cognito, AppSync, Lambda, DynamoDB), handling 3k+ daily transactions.

• Improved user engagement by 35% by redesigning the HR support ticket submission flow, resulting in 2K+ monthly active employee issues resolved.

• Contributed in the migration of 3 legacy features to Jetpack Compose, reducing codebase size by 30% and cutting maintenance time by 45%.

• Streamlined CI/CD pipeline reducing deployment time from 45 to 15 minutes, enabling faster feature delivery and bug fixes for critical workforce management tools.

• Partnered with web team to create unified cross-platform experience, achieving 90% feature parity.

• Implemented a comprehensive testing strategy on AWS Device Farm, achieving 95% test coverage across 50+ device configurations and reduced post-release bugs by 40%. With automation of critical user flows cutting the QA cycle time from 5 days to 3 days, ensuring consistent app performance and stability.

• Led the integration of context-aware Agentic AI powered Amazon Q Business LLM for internal HR support into android AtoZ platform, achieving 65% faster ticket resolution and 40% reduction in employee support escalations across 1M+ employees.

• Designed and integrated mobile optimized 3D training characters using ARCore, Filament and ExoPlayer, creating an interactive safety video tutorial system that increased employee safe task completion accuracy by over 30%. PUBLICATIONS AND PROJECTS

Lead Android Developer – AI Productivity Chatbot (Mini Gem) Google Play Store. January 2024 - Present

• Built a multimodal AI-powered Android chatbot using Kotlin Jetpack Compose and Google’s Gemini API to perform real-time data analysis from both text and images. Enabled intelligent context-aware responses by combining NLP and image recognition to extract insights from user prompts and uploaded photos.

• Integrated Room DB for local chat storage to support longitudinal conversational data analysis. Godwin Tardzenyuy Bime

***********@*****.*** +1-859-***-**** LinkedIn Portfolio Jan 2023 – Dec 2024

Sep 2018 – Dec 2022

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