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Master of Science in Business Analytics

University of Alabama in Huntsville, Huntsville, AL

• 3.9 GPA
• Data analytics using Python and R
• Experimental design, modeling & simulation
• Statistics and Machine Learning
• Business partnerships and fundamentals

Bachelors of Science in Aerospace Engineering

Mississippi State University, Starkville, MS

• 4.0 GPA
• Astronautics
  • Aerodynamics
  • Structures and composites
  • Guidance and control systems
  • Orbital Mechanics
  • Spacecraft Mission and Design
• Activities
  • Resident Advisor (August 2013 - May 2015)
  • Famous Maroon Marching Band (August 2012- May 2015)
  • Sigma Gamma Tau
  • AIAA

Senior Machine Learning Engineer

Apple Inc.

• Results
  • Preventing $(very high number) in annual fraud losses
  • Maintained, developed, and innovated an analytic fraud model
  • Uses Python, XGBoost, SQL, Pandas, Numpy, Seaborn, and Clojure pipeline
• Operational Excellence
  • Improved model development life-cycle with automation and standardization
  • Reduced model refresh cycle from two-weeks to one-day
• Collaboration
  • Led team-wide innovation effort for graph neural network approaches and feature engineering
  • Mentored summer intern and provided project for novel label ensemble methods

Machine Learning Engineer

Apple Inc.

• Results
  • Reduced error detection delay from ~4 hours to under 5 minutes for critical decisioning
• Collaboration
  • Worked cross-functionally to incorporate and convey new business findinds and recommend courses of actions

Artificial Intelligence Engineer

ExoAnalytic Solutions

• Multi-target tracking for Space Situational Awareness
  • Detection, characterization, indication, and warnings
  • COTS hardware --> data screening --> YOLO Network --> Kalman filter --> multi-target tracking
• Hypersonic tracking using RADAR and deep-learning
  • Formulated novel Kalman filter parameterized by RNN with Attention lookback mechanism
  • Customer raved about ease of use, results, and responsiveness
• Multi-phenomenology Sensor Fusion Probabalistic DNN
  • Network was uniquely constructed to handle asynchronous, multiple source, and varied feature input
  • Utilized Bayesian inference for uncertainty esimation in result (epistemic and aleotoric)
  • Orchestrated Python and Tensorflow to MATLAB using a JAVA interface for delivery to government system
• DSLR imaging system for Low Earth Orbit Tracking
  • Designed COTS pipeline for imaging the night sky and tracking LEO satellites
  • Image processing
  • Initial orbit determination
• Business Development
  • Led proposal efforts for multiple hypothesis tracking using DNNs
  • Contributed on numerous proposals in support of Air Force, Army, and DARPA agencies

Systems Engineer

ExoAnalytic Solutions

• Modeling and simulation
  • Developed complex simulations using EO/IR emulator for various missile defense platforms
  • Evaluated space-based platform concepts
• Environment characterization
  • Engineered algorithm to utilize multiple EO/IR and RF sensors to detect a degraded environment
  • Estimate 3 dimensional cloud extent by fusing phenomenologies

On-the-come-up Experience

• Resident Advisor; Mississippi State University; 2013-2015
• Team Member; Chick-fil-a; 2011-2013