• Building full-stack websites for small businesses by utilizing the MERN stack

• Integrating with MongoDB Compass, middleware, PayPal API, and Cloudinary

• Fully documented project with meticulous detail and deployed on Render or InfinityFree

• Diagnosed and resolved complex technical issues spanning network, software, hardware, and various system-wide applications leveraging the vast resources of the University's IT knowledge base

• Managed and expedited customer service tickets via TeamDynamix (TDX) while delivering robust desktop support to an extensive user network comprising over 80,000 students, professors, staff, and external clients

• Achieved 3 national awards within the OIT User Support team at the 2021 HDI Awards for quality work

• Documented the dictionary codebase through in-depth analysis of the Ruby on Rails back-end structure

• Revamped the back-end structure by troubleshooting broken functions and implementing new features

• Developed and optimized a plethora of SQL reports in MySQL Workbench, streamlining data analysis

• Increased organic monthly traffic on the website from approximately 24,000 to 34,600 users

• Integrated a programmable logic controller (PLC) to identify and reject defects in under 1 second per bottle on over 4,000 daily containers in an industrial-sized manufacturing line using edge computing

• Developed and deployed 3 computer vision models for detecting packaging defects using Custom Vision, IoT Edge, and Python, achieving a false positive rate below 1% and a 100% recall

• Utilized Azure Stream Analytics and Azure SQL for comprehensive data analysis to visualize real-time results on 3 central dashboards using Grafana