EXPERIENCE_LOG

— NVIDIA DGX Cloud Data Platform for AI workflows

— Built a microservice with a team of developers using Java, Spring Boot, and OData, which created a REST API for legacy SQL schemas that supported crucial platform modernization efforts.

— Integrated test cases into a GitHub Actions CI/CD pipeline for a SwaggerUI OpenAPI documentation generator using Java, successfully increasing generator code coverage to 91%.

— Optimized service efficiency by building a dedicated metadata caching layer using Java, Spring Boot, Docker, PostgreSQL and Postman, reducing startup latency for dependent APIs by 3 minutes.

— Cooperated with several developers using Microsoft Teams and Github Issues, improving code quality and coherence.

— Manage Linux workstations used by over 100 people with Ansible, including migrating 30 machines from Ubuntu 24.04 to Pop!_OS 22.04.

— Configured key software such as OpenSSH and NFS. Also set up SSL certificates using Let’s Encrypt for university websites accessed by professors and students.

— Used Python, Git, Docker, and a REST API to create a vulnerability detector for installed software packages across all internally managed systems, cutting potential vulnerability detection time from 30 days down to 1 day.

— Corrected 4,400+ SQLite entries with Python, achieving 100% accuracy in quarterly software license usage reports.

— Built a Python and REST API tool to detect duplicate software license usage, saving 2 hours of manual data analysis.

— Integrated 80+ test cases for internal Atlassian suite applications into DevOps CI/CD pipelines using Python, Pytest, and REST APIs, preventing deployment of misconfigured Docker containers.

— Collaborated in an Agile environment using Jira to track project progress and participate in daily Stand-Up meetings, enhancing team communication and improving overall project understanding.

— Deployed a 15+ page dynamic and scalable web application using Kubernetes (K3s), Docker, Wordpress, MySQL, HTML and CSS to present undergraduate research focused on the content analysis of religious sermons.

— Architected a K3s cluster consisting of 4 heterogeneous Linux nodes, to simulate an AWS Elastic Kubernetes Service (EKS) development environment, integrating the Ingress service for scalable load balancing.

— Met with professor bi-weekly to discuss server and website architecture which led to optimized design choices.

— Analyzed methodological diversity of over 77 academic professors to find correlations in methodologies across disciplines.

— Utilized Python to create a Spearman Correlation Matrix, revealing 2 out of 12 axes being moderately correlated. Displayed results using Tableau, scoring an 89% on the judging report at the 78th Annual Eastern Colleges Science Conference (ECSC).