Forward Deployed Engineer

Alex Britton

Translating data into actionable tools. Building pipelines, dashboards, and AI-assisted systems.

Resume
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Project Snapshots

A few highlights from my work in data science, AI, 3D modeling, and frontend development

Elbow Torque Prediction
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Machine Learning

Elbow Torque EMG

Two-stage ML pipeline • R²=0.76

EMG Processing Pipeline
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Data Pipelines

EMG Processing Pipeline

Sports biomechanics analysis

Multi-Camera 3D Pose
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Computer Vision

3D Pose Estimation

Multi-camera triangulation system

Bat Path Visuals
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Data Visualization

Bat Path Visuals & Analysis

3D swing visualization system

DL SQL MCP
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AI / LLM Tool

DL SQL MCP

Natural language database queries

Edger Case 3D Model
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3D Modeling

Edger Case Design

CAD design & 3D printing

Motion Capture Frontend
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Frontend Design

Motion Capture Frontend

8-camera control system UI

Torpedo Bat FEA
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FEA Analysis

Torpedo Bat FEA

Finite element analysis study

Research

Peer-reviewed publications

Under Review

Neuromuscular Efficiency and Elbow Varus Torque Production in Baseball Pitchers: A Two-Tier Machine Learning Approach Integrating Electromyography and Biomechanical Analysis

Alexander B Britton, Brent Hokeness, et al.

2025

This study developed a two-tier machine learning framework to quantify the contribution of forearm muscle activation patterns to elbow varus torque beyond biomechanical kinematics alone. Stage 1 achieved R² = 0.764 using kinematic features, while Stage 2 explained ~30% of residual variance using EMG and isometric performance metrics, supporting a neuromuscular efficiency construct for personalized injury risk assessment.

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American Journal of Biomedical Science & Research

Kinematic Analysis of a Four-Bar Linkage for Forward Stroke Motion

Christine Walck, Megan P Parker, Alexander B Britton, Douglas T Wingert

March 2025 DOI: 10.34297/AJBSR.2025.26.003442

This study introduces a novel four-bar linkage mechanism to improve adaptive kayak mounts for individuals with upper-body mobility impairments. Using motion capture technology to derive a Standard Stroke Profile, the design replicates natural forward kayak strokes with high accuracy (RMSE = 22.0 mm), addressing key limitations in existing adaptive sports technology.

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