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General Information
Full Name | Dwight Temple |
Languages | English, German (learning) |
Education
- 2020
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
- 2016
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
Experience
- 2022-Present
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
- Results
- 2020-2022
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
- Results
- 2018-2020
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
- Multi-target tracking for Space Situational Awareness
- 2016-2018
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
- Modeling and simulation
- 2011-2015
On-the-come-up Experience
- Resident Advisor; Mississippi State University; 2013-2015
- Team Member; Chick-fil-a; 2011-2013
Comfortable Tools
- Data: Catboost, XGBoost, Tensorflow, PyTorch, Numpy, Pandas, PySpark
- Language: Python, SQL, Clojure, MATLAB
- Visualization: Seaborn, matplotlib
Academic Interests
-
Applied Machine Learning
- GAN, RNN, Transformer, CNN, Segmentation
- Bayesian learning methods
- Graph Neural Networks
-
Target Tracking
- Kalman filtering, Unscented Kalman, Particle Filtering
- State-space modeling, missile defense, feature-aided track correlation
Life outside of work!
- Health: Running, cycling, powerlifting
- Hands: Building, Home Improvement, Tinkering, Car
- Creative: Photography, Guitar, German