Brandon Shurick
Senior Data & Applied Scientist
8+ years of experience transforming ML research into production solutions at enterprise scale. Proven track record of building AI systems serving thousands of users, with expertise in LLM integration, recommendation systems, and production ML infrastructure.
AI & ML Projects
Production-tested AI systems and research projects demonstrating expertise in LLM integration, ML engineering, and scalable architecture.
Enterprise AI Analytics Platform
Production-scale conversational AI system for data democratization achieving 85% helpfulness rate.
LLM Fine-tuning for Domain-Specific AI
Conducted LLM fine-tuning research using few-shot prompting for domain-specific AI development, evaluated in internal scientific paper.
Production Demo: ML Notebook to Deployed Package
Comprehensive ML production demonstration from notebook to deployed Python package with CI/CD, presented at The Data Science Conference 2022.
Enterprise Content Recommendation Engine
Production-scale ML recommender system for personalized business intelligence serving thousands of enterprise leaders.
Industrial Risk Prediction System
Large-scale Spark ML model for operational risk prediction, achieving 8% reduction in high-risk events with multi-million dollar impact.
Employee Attrition Prediction & Engagement System
Enhanced ML model and full-feature manager engagement website enabling targeted campaigns that increased employment time by 10% across 1M+ fulfillment center population.
Professional Experience
8+ years of experience building production ML and AI systems at scale, from research to deployment.
Leading AI/ML systems development for PeopleInsight, serving 30k+ employees with conversational analytics and production ML infrastructure
Key Achievements
- ▶Architected RAG-based AI system using Anthropic Claude and OpenSearch for 30k+ employees, achieving 20 percentage point helpfulness rate increase
- ▶Led a multi-agent architecture refactor and ran systematic experiments, quantifying the impact on cost, quality, and response latency across several design alternatives
- ▶Built rapid prototyping platform enabling team AI feature experimentation, including hackathon development
- ▶Designed and deployed LightGBM recommender system for personalized HR reports serving thousands of Operations leaders across 20+ lines of business
- ▶Developed large-scale Spark ML model for warehouse safety risk prediction, achieving 8% reduction in high-risk events ($3.5M savings/year)
Technologies & Tools
Get In Touch
Let's discuss opportunities in AI systems, ML engineering, or leadership roles. I'm always interested in challenging problems and innovative solutions.
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Areas of Interest
AI Consulting
LLM integration, ML architecture, production AI systems
Speaking
Conferences, meetups, technical workshops
Collaboration
Open source projects, research partnerships
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