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Product-focused machine learning engineer
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Assessing your cultural and operational fit
North Carolina State University
Bachelor of Science (BS), Materials Science Engineering
N/A – Present
Udacity
Nanodegree, Machine Learning
N/A – Present
NVIDIA
Senior ML Engineer, Information Retrieval
May 1, 2024 – Present
Remote
Duo Security
Tech Lead, Machine Learning
October 1, 2023 – May 1, 2024
Remote
Duo Security
Senior Machine Learning Engineer
February 1, 2022 – October 1, 2023
Remote
Duo Security
Machine Learning Engineer
March 1, 2021 – February 1, 2022
Remote
Proofpoint
Data Scientist, Machine Learning
August 1, 2018 – March 1, 2021
Hybrid
One Drop, Informed Data Systems Inc.
Machine Learning Consultant
July 1, 2018 – August 1, 2018
Udacity
Machine Learning Mentor
October 1, 2017 – June 1, 2018
Remote (part time)
Mobius Labs
Founder and Data Scientist
October 1, 2017 – March 1, 2018
Raleigh-Durham, North Carolina Area
Red Hat
Data Science Intern
May 1, 2016 – August 1, 2016
Raleigh-Durham, North Carolina Area
NC State University
Undergraduate Research: Computational modeling of material-liquid-nanoparticulate systems.
September 1, 2015 – April 1, 2016
Raleigh-Durham, North Carolina Area
LORD Corporation
Materials Science Engineering Intern, NC Space Grant Fellow
May 1, 2015 – July 1, 2015
Raleigh-Durham, North Carolina Area
NC State University
Undergraduate Research: Improving the effectiveness in student-learning for organic chemistry.
January 1, 2015 – January 1, 2016
Raleigh-Durham, North Carolina Area
NC State University
Undergraduate Research: Novel approach using metals for pollutant removal process.
June 1, 2013 – May 1, 2015
Raleigh-Durham, North Carolina Area
Triangle Aquatic Center
Lifeguard
May 1, 2011 – July 1, 2014
Cary NC
Customer Segmentation with Unsupervised Learning
July 1, 2017 – Present
Segmented customers using soft clustering (Gaussian Mixture Modeling) given information on purchasing history in various wholesale categories; data was provided by UCI (Wholesale customers dataset). Number of segments was chosen by silhouette analysis. Reduced dimensionality with PCA to visualize the customer segments in a human-interpretable format.
Dog Breed Image Classifier
July 1, 2017 – Present
Built a convolutional neural network with Keras (powered by a Tensorflow backend) to identify dogs in photos and predict their breed. Training was augmented via transfer learning using the weights from Google’s InceptionV3 architecture; all convolutional layers were frozen while the top model was trained locally. Achieved an accuracy of 79% correct breed identification on the test set.
Aquanix
August 1, 2016 – May 1, 2017
Aquanix develops innovative nature-inspired materials for water-collection applications. Aquanix’s first product is a humidity filter which decreases the energy load on industrial HVAC units for dehumidifying input air. - Met with local potential customers to validate our hypothesis and better understand their problem. - Created interest from two local universities who would like to pilot our technology in their laboratory buildings on campus. - Researched potential solutions, using nature as a case study, and developed a procedure for the small-scale manufacturing of our technology. This company was founded as part of the NC State Engineering Entrepreneurs Program. This project stands in place of a traditional "senior design" project.
BoostOurTeam
May 1, 2015 – May 1, 2017
A dynamic fundraising platform designed to make sports teams' fundraising process simple and painless.
Architecting with Google Kubernetes Engine Specialization
Coursera
June 24, 2026 – Present
Machine Learning with TensorFlow on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from entrepreneurial ventures (Aquanix, Mobius Labs) to academic research and industry roles, indicates adaptability and a broad interest in applying technical skills to various domains. Their progression through multiple ML-focused roles at different companies (Proofpoint, Duo Security, NVIDIA) aligns well with a growth-oriented culture. The Udacity mentorship role also suggests a willingness to contribute to the community and share knowledge. The target role of ML Engineer is a strong fit given their career path and project experience.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead and Founder, along with their mentorship role, suggests strong leadership, problem-solving, and communication skills. Their involvement in various research projects and a startup indicates a proactive and innovative mindset. The detailed project descriptions and career progression demonstrate a strong work ethic and ability to handle complex technical challenges. The lack of specific psychometric test results prevents a direct assessment of stress handling or team collaboration, but the career trajectory implies effective collaboration in team environments.