Data Science Leader

Hi, I'm Christopher

Data science leader and technical architect with a track record of transforming complex challenges into production-ready AI solutions.

From building educational platforms that improve student outcomes to developing mission-critical defense systems, I bring a unique blend of technical depth and strategic thinking. My journey spans EdTech, FinTech, and Defense - architecting systems serving thousands of users and delivering measurable business impact.

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Technical Expertise

Full-stack capabilities from ML engineering to cloud architecture, with a focus on shipping production systems.

Machine Learning & AI

Building production ML systems that solve real-world problems

LLM Integration

GPT-4, Azure OpenAI, Prompt Engineering, RAG Systems

Computer Vision

YOLO Object Detection, Synthetic Data Generation

NLP & Text Analytics

Document Processing, Semantic Search, Clustering

Predictive Analytics

Time-series Forecasting, Random Forest

Production ML

Model Deployment, A/B Testing, Monitoring

Deep Learning

PyTorch, TensorFlow, Neural Architecture

Data Engineering & Architecture

Designing scalable data systems from concept to production

Cloud Data Platforms

Google BigQuery, Cloud SQL, AWS Services

Database Systems

PostgreSQL, SQLite, ChromaDB (Vector)

ETL Pipelines

Real-time Processing, Batch Operations

Data Architecture

Microservices, Event-driven Systems

Analytics Platforms

Dash/Plotly, Interactive Visualizations

Legacy Integration

COBOL Systems, Mainframe Processing

Full-Stack Development

End-to-end development from backend APIs to interactive frontends

Languages

Python, Rust, Go, TypeScript, SQL

Backend

FastAPI, Actix-web, Flask, REST APIs

Frontend

React, Next.js, TypeScript, TailwindCSS

Infrastructure

Docker, Cloud Run, CI/CD, Kubernetes

Authentication

JWT, OAuth2, LTI Integration

Performance

Optimization, Caching, Scaling Strategies

Leadership & Strategy

Driving technical excellence and business outcomes

Technical Leadership

Architecture Design, Technology Selection

Cross-functional

Stakeholder Management, Requirements

Project Management

Agile Development, Resource Planning

Data Governance

FERPA Compliance, Security Frameworks

Business Impact

ROI Analysis, Cost Optimization

Innovation

R&D Leadership, POC to Production

Experience

A track record of delivering impactful AI solutions across education, defense, and financial services.

Founder & Technical Architect

Design X Factor

2024 - Present

AI-Powered Educational Content Platform (Learning Transformer)

Architected full-stack ML platform migrating from Go POC to Rust production system
Implemented advanced LLM orchestration using GPT-4o-mini for educational content
Built multi-modal AI pipeline generating slideshows, podcasts, and quizzes
Scaled platform from single institution POC to multi-tenant SaaS

Electrical Code Learning Platform (VoltVault)

Implemented NLP pipeline processing NFPA-70 electrical code with AWS Textract
Developed semantic search system using ChromaDB vector embeddings
Built automated question generation system using GPT-4

Senior Data Scientist & ML Engineer

Adtalem Global Education

2023 - Present

AI-Powered Tutoring System

Led architectural transformation from Python POC to production Rust microservices
Built comprehensive analytics pipeline using BigQuery and pandas
Implemented NLP clustering system using TF-IDF and K-means
Created real-time recommendation engine with Azure OpenAI GPT-4

Veterinary Education Analytics Platform

Architected end-to-end ML pipeline using Azure OpenAI GPT-4
Built automated web scraping system using Python/Selenium
Developed interactive dashboard using Dash/Plotly and BigQuery

Senior Data Scientist

Quest Defense

2022 - 2023

Mission-Critical Defense Analytics

Led development of 3 mission-critical defense projects
Developed Random Forest model for predictive parts inventory
Trained custom YOLO model on synthetic Unreal Engine graphics
Received Employee of the Quarter recognition

Data Scientist

The Strawhecker Group

2020 - 2022

Payment Industry Analytics Platform

Managed stakeholder relationships with payment industry executives
Built Random Forest model generating synthetic payment database
Developed multiple RNN architectures for time-series prediction
Led end-to-end ML pipeline with Kubernetes and BigQuery

Let's Build Something Together

I'm always interested in discussing new projects, creative ideas, or opportunities to be part of your vision.

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