Hi, I'm Jared 🚀
CS @ University of Cincinnati (Statistics minor). At GE Aerospace I build AI for aerospace (3× Corporate Impact Awards so far), and on the side I built DraftVision, an NFL prospect prediction platform that analyzes 9,000+ college prospects, with high-school prospects coming soon.
- Built & own a production RAG toolkit that cut rework lead time 50%; earned 3 Corporate Impact Awards.
- Shipped agentic automation (MCP + HPC) that compressed ~6 months of work into 5 days.
- Rolled out AI tooling to 30+ engineers; built QC-Calcite (200+ users, error-free in prod).
- Built a computer-vision → surrogate-NN pipeline: +30% KPI-prediction speed, −15% downtime.
- AI-agent workflows that saved ~10 hrs/week and lifted throughput 18%.
- Fine-tuned a production XGBoost pricing model, improving rate-recommendation accuracy 8%.
- Built a PowerBI dashboard used by Sales VPs to guide coaching & strategy.
I'm a senior at the University of Cincinnati (B.S. Computer Science, minor in Statistics) graduating Fall 2026, and I build ML that actually ships. At GE Aerospace I earned three Corporate Impact Awards for applied AI work, at TQL I tuned an XGBoost pricing model in production, and I turned a football obsession into DraftVision, a deployed platform that scores 9,000+ college prospects. Off the clock, my football analytics YouTube channel has crossed 15,000 views.
