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

Specializes in developing cutting-edge ML solutions with a focus on graph neural networks and edge computing systems. Creates customer-driven products through iterative test events, ensuring solutions meet real-world requirements while operating in resource-constrained environments.

PythonPyTorchC++CI/CDJavascriptAFSIMNext.jsLLM Integration

Defense Sector Expertise

With 15+ years of military experience, brings deep understanding of defense operations and analysis. Specializes in implementing innovative solutions for disconnected environments where reliability and deterministic behavior are critical for mission success.

Self-Directed LeadershipHigh-Tempo OperationsOperations AnalysisProcess Improvement

Leadership & Communication

Extensive experience managing teams ranging from 5 to 30+ personnel across tactical and strategic roles. Comfortable presenting complex technical concepts to enterprise leadership and facilitating decision-making cycles in high-stakes environments.

Team ManagementExecutive PresentationsStrategic PlanningDecision Making

Featured Projects

A showcase of my recent work and side 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.jsReactTypeScriptAI/MLFramer MotionTailwind CSS
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++PythonDBSCANYOLO11OpenCVMongoDBML

Other Notable Projects

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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