The Enterprise AI Building Gap: What 48 Hours With AI Tools Taught Me
We gave AI building tools to non-engineers at a two-day hackathon. The tools worked. Everything around the tools nearly stopped us.
Build better habits, one day at a time
Exercise (20 Pushups)
6 times a day
30 minutes of Audiobook
Daily
Morning Meditation
Daily
Build better habits with friends
iOS App Store
Shipped to production with Capacitor
On-device ML
TensorFlow.js inference for streak insights
26 RLS policies
Every table locked down, zero exposed endpoints
Real-time sync
Live messaging and friend activity via Supabase
Built before the interview, not after. Designed an AI-powered Slack monitoring system with Z-score anomaly detection and GPT-generated campaign insights. Closed-loop feedback lets the model improve from analyst corrections in real time.
Built proactively — secured the role before the first interview
A quantitative trading system that finds mispriced daily high temperature brackets on Kalshi prediction markets by fusing 194 AI and physics-based weather model forecasts against real-time market prices.
194 ensemble forecasts | 7 pre-trade risk guards | Live system
Associate, Innovation & Automation
2025 - Present
New York, NY
AI & Cybersecurity Intern
Sep 2024 - Dec 2024
New York, NY
Cybersecurity Auditor
Dec 2021 - Aug 2023
New York, NY
M.S. Cybersecurity
Aug 2022 - June 2025
GPA: 3.96
B.S. Computer Science
Sep 2018 - June 2022
GPA: 3.90
I publish when I learn something worth sharing.
Looking for roles where I can secure AI systems at scale — guardrails, red teaming, model governance, or building the infrastructure that makes AI safe to deploy.
Also open to collaborating on AI security research and open-source tooling.