Builder focused on AI systems, autonomous agents, and developer infrastructure.
I work on tooling that makes it easier to design, orchestrate, and scale intelligent systems — from SDKs and frameworks to full-stack agent platforms.
- Autonomous AI agents & orchestration
- Developer-first AI frameworks & SDKs
- Scalable AI infrastructure (events, workflows, streaming)
- Decentralized & long-term AGI-aligned systems
Most of my work lives at the intersection of AI × software architecture × product.
A framework and platform for building and running multi-agent orchestration.
Repos:
taskforceai-tuitaskforceai-sdk-typescripttaskforceai-sdk-pythontaskforceai-sdk-gotaskforceai-sdk-rusttaskforceai-hubhomebrew-taskforceai
tsgo-lsp- Claude Code plugin
These Go SDKs are actively maintained production dependencies used by the TaskForceAI backend
-
revenuecat- Go client for the RevenueCat API -
vercel_blob- Go client for the Vercel Blob API -
go-brave-search- Go SDK for Brave Search -
upstash-go- HTTP-based Go Redis client for Upstash -
e2b-go- Go SDK for E2B (cloud runtime for AI agents)
- Languages: TypeScript, Go, Python, Rust
- AI: LLMs, agents, tool-use, streaming, SSE
- Web / Infra: TanStack, Next.js, event-driven systems
- Dev Tooling: SDK design, CLIs, APIs, monorepos
- Systems: Distributed systems, automation, workflows
- Optimize for leverage and scalability
- AI systems should be understandable, composable, and reliable
- Long-term thinking > short-term hype
I’m open to:
- Collaborating with strong builders
- Early-stage AI infrastructure ideas
- Research-aligned applied AI projects
📬 Reach out: