Greater Seattle Area
Hi there! I’m a Software and Data Engineer with experience in backend development on AWS and building data systems that support real business decisions. I’ve worked on web applications designed to scale as traffic grows, helping power digital ad revenue and ensuring systems run reliably in the cloud. On the data side, I build pipelines that collect and organize revenue and cost data into clear dashboards so teams can easily understand performance and make smarter decisions. I’m currently pursuing a part-time Master’s degree in Machine Learning at Georgia Institute of Technology, where I’m deepening my understanding of AI and data-driven systems while continuing to work full time.
• Built scalable, stateless AWS-based web platforms supporting ad monetization, enabling Sinclair to publish and manage digital ads efficiently; automated infrastructure provisioning and deployments via Terraform and CI/CD, improving release velocity and ensuring high availability under growing user traffic • Streamlined revenue and analytics systems across Google Ad Manager, Google Analytics, GCP, Tableau and other third party vendors into a centralized Databricks lakehouse. Designed and migrated production-grade ETL workflows and rebuilt executive dashboards to centralize revenue and infrastructure cost tracking, eliminate redundant SaaS tools, reduce licensing expenses, and enable stakeholders to optimize ad performance and cloud spend. • Integrated AI-driven analytics solutions, including Databricks Genie, to enable stakeholders and data analysts to generate ad-hoc queries, reports, and visualizations without engineering support.
• Deployed an AI chatbot to automate 100+ daily IT inquiries, reducing IT staff workloads by 50% and achieving a 98% user satisfaction rate across 3,000+ users. • Integrated Zapier to automate email responses and update Google Sheets, cutting manual intervention by 40% and saving about 5 hours per week. • Provide multifaceted IT support across Microsoft tools, emails, CTClink, Canvas, and hardware, while implementing Multi-Factor Authentication for over 6,000 users.
• Mentored 20+ students in full-stack development, resolving technical challenges to achieve a 90% project completion rate. • Streamlined project review processes implementing feedback templates and leveraging version control tools for inline comments, delivering feedback 20% faster and improving participant skill competency by 30%.
• Wrote and executed unit tests using Mocha and Chai to verify data accuracy and unit conversions for energy meter readings, improving reliability of the analytics API. • Automated website availability monitoring by orchestrating Dockerized Node.js scripts through Bash and cron jobs, reducing manual checks by 100% and enabling proactive error logging, which improved issue resolution time by 30% and ensured 99.9% uptime. • Implemented a GitHub Actions pipeline with Docker Buildx to automate multi-architecture image builds (AMD64/ARM64), reducing deployment time by 30% and ensuring compatibility across 2+ platforms.