Looking for a job

Liam Navarre

@liamnavarre

Message

I build high-performance machine-learning and edge-AI systems for defense and space operations.

United States

Message

What I'm looking for

I'm looking to build and deploy machine-learning, computer-vision, and high-performance data systems, particularly for defense, space, or edge-AI applications. I value end-to-end ownership, field demonstration, and leading technical teams.

At Spin Drift Technologies, I build machine-learning and high-performance data systems for Space Force operations. I created CLU, a high-dimensional vector search system reaching approximately 1.5 million queries per second, and lead the ML pipeline from dataset curation through edge deployment.

I also lead six ROTC cadets across airborne computer vision, cybersecurity, and applied ML research. My work includes training real-time vision models on NVIDIA GPU clusters, deploying air-gapped TensorRT engines in field exercises, and developing orbital-track classification algorithms for a Space Force contract ecosystem.

Experience

Work history, roles, and key accomplishments

Current

Project Manager (Cadet Program Lead)

Current

Spin Drift Technologies

Jan 2025 - Present (1 year 8 months)

Lead a team of 6 ROTC cadets spanning airborne computer vision, cybersecurity, and applied-ML research; run planning, stand-ups, and code reviews.

Project Management Airborne Object Detection Trackings PX4 ROS MAVLink Gazebo SSH Hardening 2 Factor Authentication Microsoft Authenticator Neural Networks Data Preparation Experiment Runs Results Visualization Machine Learning Skin Cancer Screening

Current

Software Engineer

Current

Spin Drift Technologies

Oct 2024 - Present (1 year 11 months)

Creator of CLU, a system for efficient storage and search of high-dimensional vectors supporting Space Force operations. Lead developer of the company's machine-learning pipeline from dataset curation through edge deployment.

PyTorch Distributed Training Onnx TensorRT GitHub Actions Pytest Docker fastAPI Swagger REST APIs NVIDIA DGX Spark Edge Deployment Computer Vision

Software Developer

Topologe

Aug 2024 - Oct 2024 (2 months)

Developed machine-learning algorithms using a Hamiltonian neural network to identify and classify uncorrelated tracks in geostationary orbit, working on a three-person team within a multi-company Space Force contract ecosystem.

Hamiltonian Neural Networks Machine Learning Swagger EC2 Node RED Space Physics Dynamic Air Drag Gravitational Forces

Engineer Intern

Avista Corp

Aug 2023 - May 2024 (9 months)

Developed a patented prototype power-line protection system in Python using an Ouster lidar and machine learning for a senior design project; led sponsor meetings and progress reporting for a four-person team.

Python Ouster LiDAR Machine Learning Project Management Prototyping