Last Rep is an iOS social media and fitness tracking application developed with Swift, AWS, and Google Cloud via Supabase and Firebase with a focus on scalability, performance, and data security. It is implemented with AWS services such as EC2, S3, and CloudFront, along with Apple iOS Health and Map kits to integrate within the UI, and designed and established an extensive backend architecture for tracking and analyzing growth to offer personalized recommendations, resulting in a 40% increase in user retention within the first month of beta testing on the iOS App Store. Within the first month, it has cultivated a robust online community with algorithm-based friends matchmaking and a competitive leaderboard system, leading to a 30% increase in daily active users and significantly enhancing engagement across diverse fitness levels.

Successfully migrated over 500 on-premises PostgreSQL DB ETL pipelines to Snowflake to enhance data processing efficiency and implement data governance and security best practices, including role-based access control and data masking. Spearheaded the conversion of extensive SQL scripts, leveraging AWS services to streamline workflows and ensure data integration and transformation processes. Developed Python scripts to automate the migration process, ensuring data integrity and minimizing downtime, and utilized Snowflake's features such as time travel, cloning, and zero-copy cloning for efficient data management and analytics

Drove coverage for the Detroit Pistons, delivering game analysis, player interviews, and in-depth performance breakdowns. I managed the official website, ensuring it was updated daily with the latest news, game recaps, and player statistics. Through strategic use of SEO and data-driven insights, I optimized content to boost visibility and audience engagement. By integrating data analytics driven by the NBA's Advanced Statistics algorithms, I provided fans with comprehensive insights, significantly increasing website traffic and creating a more dynamic and engaging online experience.

Devised a DNA strand identification, replication, and translation software for graduate studentsImplemented solutions via C++ scripts to assist Bioinformatics laboratories with artificial DNA/RNA genetic research by embedding opcodes and other indicators within the identification parametersExpedited transcription procedures and allowed for students to get immediate results, insight, and feedback from experiments

Conducted research towards characterization of materials through electron microscopy and synthesis of nanostructures using ion beams located in the North Campus Research ComplexCharacterized materials including Ford alloys and potential cures for cancer by extracting samples and identifying elements based on electron patterns