landrycmd
Independent software shop run by Brady Landry. AI infrastructure, algorithmic trading, and mobile health apps.
Products
A 21-strategy paper-trading system with dual-portfolio A/B testing between algorithmic and LLM-driven decision engines. FastAPI + APScheduler, Kelly-sized positions, Bayesian confidence scoring, and a weekly AI reviewer that scores strategies against each other.
Multi-model orchestration across DeepSeek R1 (NVIDIA NIM), Gemini Live, Grok Vision, and others. 20+ tools spanning calendar, email, trading, smart home, and journal. FastAPI backend + Expo iOS app + Firestore sync, deployed on GCP.
Peptide reconstitution math, dose logging with injection-site rotation, inventory tracking, and shareable protocols for community reach. Firebase Auth + Firestore + Expo (iOS + web). Live at peptidetrackers.com.
Adaptive ACT exam prep optimized for the score thresholds that unlock Louisiana's TOPS scholarship ($44K+ over four years). Built on the FSRS spaced-repetition algorithm with an AI tutor for personalized study paths. Firebase Auth + Expo web, live at act.landrycmd.com.
Open source
jarvis-ops
Repo →Runbook-first monitoring framework with optional LLM escalation. Ships with working smart-home and trading deployments. MIT licensed.
second-brain-template
Repo →AI-friendly personal knowledge vault template. Works with Claude Code, Cursor, Continue.dev, Claude Projects, or any AI. Includes /braindump workflow and 6-lens research system.
About
Brady Landry is a senior network engineer with a decade in ISP-scale infrastructure. landrycmd started as a vehicle for the products and open-source work he builds outside his day job. He ships production code across Python, TypeScript, and Swift/React Native; maintains public frameworks for monitoring and personal knowledge management; and runs a 21-strategy quant trading system.
Current focus: externalizing internal tooling as open-source frameworks, shipping revenue products, and writing publicly about AI-native infrastructure engineering.
Writing
Long-form pieces on infrastructure, AI tooling, and shipping side products. Read all →