DEREK FOX
Helping to make the world a better place with AI.
CHARACTER SHEET
ABOUT MEGenAI Engineer with 4+ years of experience shipping production AI systems across enterprise consulting, finance, and telecom. Specializes in designing multi-agent architectures, building RAG pipelines, and developing LLM evaluation tooling at scale.
MS in Data Science (AI specialization) from Northwestern. BA from UC Berkeley. Currently building enterprise agentic systems at Deloitte.
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TECH STACKQUEST LOG
PROJECTSNeurosymbolic mathematics toolkit for LLMs. 111 tools across 7 domain-specific MCP servers that route calculations through SymPy, NumPy, and SciPy for provably correct results โ eliminating math hallucinations entirely.
MCP-powered task manager with Claude AI integration. Full desktop application with Microsoft To Do-style UI, intelligent prioritization strategies (Eisenhower, quick wins, high impact), and goal tracking.
Predictive safety intelligence for Chicago CTA. Trained XGBoost and DBSCAN clustering models on 50K+ crime incidents to identify high-risk transit stations. Includes a RAG-powered chatbot for natural language querying.
Full-stack evaluation framework that accelerated testing cycles by 90% for CFO-facing finance agentic application. Scaled from single team to company-wide adoption across 3 teams at Deloitte.
You're standing in it. A gamified portfolio with hidden terminal, text adventure, 3 playable games, 17 achievements, and a forest theme. Built with Next.js, Tailwind, and GSAP.
Architecting agents on Google Gemini Agentspace focused on revenue leakage detection, cash collections optimization, and journal entry intelligence. Production-scale finance automation.
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