Louis Bove
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Louis Bove

Machine Learning Engineer | Leader

Developing cutting-edge ML solutions for defense applications and leading high-performance teams

About Me

Machine Learning Engineering

Builds production-grade ML solutions for resource-constrained and mission-critical environments. Leverages a GCP ML pipeline and expertise in graph neural networks and edge computing — delivering customer-validated systems through rapid iteration and real-world test events.

PythonPyTorchC++CI/CDJavascriptAFSIMGCPGraph Neural Networks

Defense Sector Expertise

15+ years of military operations experience inform reliable, deterministic AI for disconnected and high-stakes settings. Proven ability to translate complex battlefield needs into scalable technical solutions.

Self-Directed LeadershipHigh-Tempo OperationsOperations AnalysisProcess Improvement

Leadership & Communication

Led teams of 5–30+ in tactical and strategic roles, briefing senior leaders and driving decisions under pressure. Skilled at aligning technical teams with mission objectives in dynamic environments.

Team ManagementExecutive PresentationsStrategic PlanningDecision Making

Featured Projects

A showcase of my recent work and side projects

CarbonCheck Field

CarbonCheck Field

Flutter mobile app that helps farmers analyze crop types and estimate carbon credit income using satellite imagery and AI.

FlutterDartVertex AIGoogle Earth EngineCloud Run
Download for Andriod
CarbonCheck Field app QR code
Download for iOS
CarbonCheck Field app iOS QR code
Birds of Play

Birds of Play

Advanced motion detection system using DBSCAN clustering with overlap-aware distance metrics. Real-time bird tracking with YOLO11 object detection, unsupervised ML clustering, and supervised fine-tuning interface.

C++PythonDBSCANYOLO11OpenCVMongoDB

Other Notable Projects

AI Game Generator

AI Game Generator

Intelligent game generation platform that creates custom games from user prompts. Features interactive gameplay with modern web technologies and AI-driven content creation.

Next.jsReactTypeScript+3
Drone Object Detector

Drone Object Detector

Object detection model trained on drone footage using YOLO architecture. Processes video clips to identify and track objects in aerial imagery.

PythonYOLOComputer Vision+2
Age Recognition Model

Age Recognition Model

Deep learning model using Convolutional Neural Networks to predict age from facial images. Implemented with TensorFlow and achieved high accuracy on diverse datasets.

PythonTensorFlowCNN+2
Hotel EV Charging Stations Analysis

Hotel EV Charging Stations Analysis

Data analysis project examining how Electric Vehicle Charging Stations affect hotel ratings. Comprehensive statistical analysis with data visualization.

PythonPandasMatplotlib+2
Article Rating Predictor

Article Rating Predictor

Machine learning model to predict the popularity of articles on Towards Data Science based on titles and content. Uses NLP and feature engineering.

PythonNLPScikit-learn+2

Contact

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Get in touch

Feel free to reach out if you have any questions about my work or would like to connect.

Email

louisbove84@gmail.com

Location

Available for remote work

Response Time

Usually within 24 hours

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Louis Bove

Machine Learning Engineer | Leader

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