CTO & Co-Founder at Rheosoph Building Flow-Like — a Rust-native platform for enterprise AI, data workflows, automation, and internal apps.
I work across product, architecture, backend systems, AI infrastructure, developer tooling, and enterprise-grade deployment models. My current focus is making complex AI and data workflows easier to build, govern, run, and scale.
Flow-Like is a typed workflow and application platform built around a Rust execution engine. It combines visual workflow design, AI nodes, data integration, app interfaces, and governance into one system.
Core ideas:
- Typed workflows instead of fragile black-box automation
- Rust-native execution for performance, portability, and reliability
- Local, server, cloud, and edge execution
- AI, data, and app logic in one runtime
- Governance, auditability, permissions, and usage tracking built in
- Extensible node and package system
- Enterprise deployment options, including self-hosted setups
The goal is to give teams a practical layer where IT, AI, data, and business units can build together without losing control over security, cost, or maintainability.
I mainly work with:
- Rust for engines, execution runtimes, backend services, data processing, and systems tooling
- TypeScript / React / Tauri for desktop, web, and product interfaces
- AI infrastructure including local models, model providers, tool calling, embeddings, multimodal workflows, and governance
- Data systems including object storage, LanceDB, DataFusion, vector search, analytics, and workflow-level data access
- Cloud and deployment across AWS, Cloudflare, self-hosted environments, and portable runtime models
- Security and platform architecture including sandboxing, credentials, permissions, audit trails, tenant isolation, and signed artifacts
A Rust-powered workflow, AI, data, and app platform. This is my main project and the technical foundation behind Rheosoph Flows.
A lightweight search setup using Cloudflare Workers, R2, Queues, and caching.
A small utility project around image delivery and caching with Cloudflare infrastructure.
I care about systems that are:
- simple enough to operate
- typed enough to trust
- local-first where it matters
- cloud-ready where it helps
- auditable by default
- built for real users, not demos
Most of my work sits at the intersection of product engineering and systems architecture: taking complex technical capabilities and turning them into something usable, governable, and deployable.
- AI workflow runtimes
- Local and sovereign AI infrastructure
- Enterprise agent platforms
- Visual programming and typed workflow systems
- DataFusion, LanceDB, object storage, and query performance
- WASM-based extensibility and sandboxing
- Tauri desktop/mobile applications
- Rust-native media, document, and data processing
- Governance, usage tracking, and AI security