Levi Mcclenny
Manager, AI Solutions Engineering at Cisco
College Station, Texas, United States
Summary
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Senior🎓
Top SchoolLevi Mcclenny is a Manager of AI Solutions Engineering with 11 years of experience blending deep academic research and operational delivery across AI/ML, generative models, PINNs, NLP, and computer vision. He holds a Ph.D. in Electrical Engineering from Texas A&M and created the open-source TensorDiffEq package to enable multi-GPU PINN training on HPC systems, accelerating large-scale physics simulations. Levi has driven billions in federal technology backlog through strategic pre-sales, solution architecture, and proposal leadership for DoD and IC customers, while also leading cross-functional engineering teams to productionize mission-critical AI. Comfortable across on-prem NVIDIA clusters and AWS (EC2/EKS/ECS), he pairs hands-on TensorFlow model development with pragmatic deployment and cloud strategy. An Army Reserve officer and pilot, he brings disciplined operational leadership and risk management to complex technical programs. His work uniquely bridges generative AI and materials/CFD science, turning cutting-edge research into deployable solutions.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Texas A&M University
Github Skills (51)
notebook10
kaggle10
python10
mxnet10
machine-learning10
gluon10
reinforcement-learning10
gaussian-processes10
keras10
deep-learning10
recommender-system10
computer-vision10
mechanism10
recall10
data-science9
Programming languages (7)
Github contributions (5)
levimcclenny/SA-PINNs
Sep 2020 - Oct 2021
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism"
Contributions:40 commits, 3 PRs, 34 pushes in 1 year 1 month
pytorchmechanismphysicsphysics-informed-neural-networksdeep-learning
levimcclenny/Reinforcement_Learning
Nov 2017 - Nov 2017
Contributions:32 commits, 32 pushes, 1 branch in 28 days
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