University of Central Florida

Coursework in data mining, statistical analysis, machine learning, and deep learning.

Received Alumni in Residence Award for highest academic performance and leadership achievements in graduate cohort. Appointed to UCF Data Science Advisory Board to guide development of University-wide data science and AI curriculums and educational initiatives.

Georgia Institute of Technology

Foundational coursework in calculus, linear algebra, probability & statistics, linear optimization, and programming. Concentration focus in supply chain optimization, statistical process control, and finance & investments.

Extracurricular involvements in National Society of Black Engineers, Alpha Phi Alpha Fraternity Inc., Career Services, Resident Housing, and Management Leadership for Tomorrow.

Microsoft Azure Hardware Systems & Infrastructure

• Leading hardware production and supply chain improvements via management of supplier network
• Spearheaded org-wide material reliability testing, design of experiments, and statistical process control reviews to enable vendor rack production and drive $8 million in downstream savings
• Developed automated rack assembly BOM inspection tool using Azure Vision + ML Studio and Python libraries to analyze hardware photo samples, reducing inspection cycle time by 20%
• Managed end-to-end development of Power BI forecasting tool to balance workload distribution of 400+ hardware programs across 7 engineering teams and save 2,400 labor hours annually
• Built Azure SQL pipeline to extract and clean SKU program data (1 million+ rows) and built XGBoost schedule prediction model to improve workload forecasting accuracy by 32%
• Developed linear predictive model for Azure Hackathon team to minimize H100 server downtime by prioritizing 20,000 datacenter repair tickets according to fault code duration and frequency

Gray Artificial Intelligence, Inc.

• Developed master’s capstone project in collaboration with GrayAI, a startup leveraging deep learning and AI technologies to optimize data center operations through efficient server validation, power distribution, and preventative maintenance practices.
• Led 4-member graduate student team in analysis of server memory hardware to model server telemetry patterns, identify deviations from baseline operational behavior, and optimize validation testing
• Created PyTorch-based temporal convolutional network autoencoder architecture to analyze multivariate time series data and quantify anomalous server behavior in time spans as short as 100 milliseconds, improving model accuracy by reducing reconstruction loss from 28% to 0.25%
• Built comprehensive GitHub repository with scripts, notebooks, and reporting as well as MLflow structure to log experiments, model parameters, and artifacts for client

Georgia Tech Research Institute

• Collaborated with dynamic team of engineering professionals, researchers, and clients to visit small to medium sized manufacturing plants and produce energy assessment reports in order to optimize plant productivity, reduce waste output, conserve energy usage, and improve cost savings
• Identified average of $130,000 in annual cost savings per plant assessment, $50,000 of which are implemented during first year following the assessment
• Mentored 12 high-achieving minority junior and senior Atlanta Public School students through introductory work on IAC assessment writing, STEM subject tutoring, ACT Prep, and college application completion