About
I build product surfaces for technical systems: search-first portfolios, AI workflow tools, automation dashboards, trading infrastructure, and interfaces that make complex systems easier to inspect and operate.
I am a self-taught engineer who started building years before my first formal CS class at Miami Dade College. The throughline in my work is not a single language or domain. It is a preference for systems that have to perform under real constraints: live market data, execution latency, limited hardware, or coordination across multiple intelligent agents.
voltage-kalshi, whaleflow, and air-runtime reflect that systems mindset from different angles: quantitative trading with real risk, low-latency execution, and inference runtimes that make constrained devices more capable. orcha and council-cli extend the same thinking into agentic software.
I care most about projects that sit between research and operations: technical, ambitious, concrete software that helps people act faster, reason better, or run complex systems with more confidence.
Reach me at danielsp.dev@gmail.com.
Search-first portfolios, client-facing web apps, and polished recruiter flows.
Multi-agent orchestration and visible model-disagreement workflows.
Trading, inference, WebSocket, and constrained-runtime proof points.
Core technologies
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