Beamlak Tekle

Installed, validated, and maintained NVIDIA GB200 and GB300 GPU server platforms by executing hardware diagnostics, functional validation, system testing, and troubleshooting 20+ server issues daily to ensure quality, reliability, and high availability in large-scale AI computing environments Applied firmware, BIOS, and driver updates, performed preventive maintenance and hardware upgrades, and partnered with cross-functional engineering teams to optimize server reliability, network integration, and data center operations

Sr. Server Support Tech - Quanta Manufacturing Nashville - Nashville, TN

(2026-01 - 2026-07)

• Installed, validated, and maintained NVIDIA GB200 and GB300 GPU server platforms by executing hardware diagnostics, functional validation, system testing, and troubleshooting 20+ server issues daily to ensure quality, reliability, and high availability in large-scale AI computing environments
• Applied firmware, BIOS, and driver updates, performed preventive maintenance and hardware upgrades, and partnered with cross-functional engineering teams to optimize server reliability, network integration, and data center operations

AI Studio Fellow - Chambers Capital Ventures - Remote

(2025-08 - 2025-12)

• Analyzed anonymized process-log tables and time-series KPIs using process-mining algorithms and tree-based learners to predict operational bottlenecks for SMBs
• Collaborated with a project team to design and implement regression-based predictive models that flag high-delay tasks and recommend targeted process improvements

Tech Developer - SEO Tech Developers - New York, NY

(2024-05 - 2024-08)

• Built a full-stack web application with RESTful APIs using Python (Flask) and MySQL, gaining hands-on experience in backend scalability and frontend design
• Completed an intensive software engineering program focused on full-stack development, data structures, and algorithms through project-based learning and collaborated in a SCRUM-style team to improve user engagement and accessibility

Undergraduate Student Researcher - Truman State University - Kirksville, MO

(2023-08 - 2024-05)

• Conducted an in-depth literature review and explored machine learning techniques to predict and manage cognitive load during user interactions with visualizations
• Collaborated with a research team to design and execute experiments by collecting and analyzing extensive data on visualization methodologies to improve user engagement

B.S - Computer Science and Statistics (minor) - Truman State University (2025-12)

Online Certificate - Machine Learning Foundations - Cornell University (2025-08)