January 2026 – Present
ML Engineering Lead
Stealth Startup | Boone, NC
- Leading a 3-person team building a production ML pipeline that harmonizes product attributes across 125K+ items from heterogeneous data sources, using semantic embedding matching (sentence-transformers) with GPU-accelerated inference
- Architected a multi-format data ingestion layer that auto-detects and normalizes JSON schemas into a unified canonical attribute registry, enabling consistent cross-source product comparison
- Integrating ML outputs into live application visuals and core product features in direct weekly collaboration with the company founder; driving technical direction under real product constraints
May 2025 – July 2025
Data Science Collaborator
The Global Career Accelerator (Intel, Lyft, OpenAI, Spotify) | Remote
- Analyzed production datasets from Intel, Lyft, OpenAI, and Spotify in international teams of 6+, delivering data-driven business insights under guidance of industry data scientists
- Applied SQL for complex queries on multi-million row datasets and Python (Pandas, Plotly) for statistical analysis and interactive visualizations across real company data
June 2023 – August 2024
Data & Systems Engineering Intern
Triaxis Power Consulting LLC | Charlotte, NC
- Deployed IoT monitoring system with Raspberry Pi 4, thermocouples, and potentiometers to track pipe temperature and thermal expansion in fossil fuel power plants for predictive maintenance
- Built Python pipeline to process and visualize sensor telemetry with automated cloud sync and remote access via PiTunnel for continuous monitoring across multiple plant sites
- Engineered NAS-to-SharePoint integration with automated folder sync, reducing manual transfers by 80% and centralizing 200GB+ of engineering data