AI Adoption Strategy
Multi-tenant RAG, LLM pipelines, and AI-augmented SDLC workflows. Identify high-impact opportunities and ship real integrations — not slideware.
Practical AI adoption, infrastructure modernization, and engineering leadership — delivered by a partner who's been in the room. From seed-stage startups to Fortune 500, the approach is the same: strategy follows proof.
CTO-level AI strategy, infrastructure modernization, and systems engineering — grounded in 25+ years of building what works.
Multi-tenant RAG, LLM pipelines, and AI-augmented SDLC workflows. Identify high-impact opportunities and ship real integrations — not slideware.
18+ years as CTO, VP Engineering, and Head of Data. Architecture reviews, team building, and delivery for complex systems at scale.
Docker, Kubernetes, CI/CD, and Snowflake migrations. Automated infrastructure that cuts costs — proven 75% reduction at Room Choice.
React Native, Python, Java. Ship fast, validate, then scale — from zero to 100+ business leader adoption in 60 days (Suncrest Hospice).
Clear scope, clear outcomes, and no surprises. Built for teams that need senior technical leadership without the overhead of a full-time hire.
Weekly advisory calls, architecture reviews, and technical decision-making support. For teams that need senior leadership without the full-time overhead.
Clear technical direction, reduced decision debt, and a roadmap your team can execute with confidence.
Fixed-scope engagements for specific outcomes — prototype, integration, or system overhaul. Defined deliverables, clear timelines, no scope creep.
A shipped, working system or integration that your team can own, extend, and maintain.
Deep integration with your team for a full quarter. I work alongside your engineers, lead architecture, and ship production code.
Momentum on your hardest problems, an upskilled team, and systems built to scale.
Problem: AI engineering teams need reusable, composable skill modules that work across agent frameworks.
Built: An open-source skills repository with structured modules for Hermes Agent and other orchestration systems.
Outcome: Live codebase powering a multi-agent development squad with 10+ specialized skills in daily use.
Problem: Personal knowledge management lacks AI-assisted organization and frictionless cross-device sync.
Built: A React Native mobile app with Firebase Cloud Functions, Firestore, Auth, and OpenRouter AI proxy.
Outcome: In private beta with StoreKit IAP integration and real user feedback driving iteration.
Problem: Plant owners need a smart directory that identifies species, tracks care, and keeps plant data organized across devices.
Built: A React Native mobile app with AI-powered plant identification from photos, care suggestions, location tagging, and a searchable plant database.
Outcome: Live at gardendex.app with plant recognition, personalized care reminders, and a growing user base.
Problem: Coordinating a team of specialized AI agents across research, coding, QA, and PM tasks.
Built: A kanban-driven orchestration system with 6 agent profiles, automated dispatch, and heartbeat monitoring.
Outcome: Active pipeline delivering code changes, research, and documentation on a daily cadence.
Understand the context, constraints, and real business goals.
Create practical plans, system designs, and AI strategies.
Construct software, automate workflows, and integrate systems.
Optimize performance, improve, and scale with confidence.
Open-source agent skills and tooling repository for AI engineering workflows.
View on GitHub →Personal productivity app built with React Native, Firebase, and StoreKit IAP. In private beta.
Mobile app — coming soonLet's talk about your goals and how codegrit.dev can help you move work forward.