Available for High-Impact AI & Systems Roles • Open to Relocation
R Jan Steve Daniel
AI Systems Engineer & Autonomous Agent Architect
Engineering production-grade autonomous agent daemons, low-latency voice pipelines, and kernel-hardened AI runtimes across Rust, Python, and the Linux kernel.
150+ Automated Integration Tests Passing
<250ms Autonomous Agent Graph Latency
14 Modular Rust Crates & Linux LSM Sandboxes
01 / SELECTED ENGINEERING
Flagship projects.
Live Production Web Application
Cinexa Films
Streaming & Discovery Platform
A high-performance cinematic streaming web application featuring instantaneous search, fluid media playback, responsive card carousels, and modern edge deployment.
Instantaneous discovery and search.
Fluid playback and responsive card carousels.
Modern edge deployment on Vercel.
Next.js
TypeScript
Tailwind CSS
REST APIs
Vercel Edge
Commercial Client Deployment
JSM Integrated Services
Enterprise Platform
Full-stack enterprise corporate presence and services management platform built for robust service delivery, operational clarity, and responsive modern user experiences.
Enterprise services presented with operational clarity.
Responsive experiences across desktop and mobile.
Cloud infrastructure and SEO / performance.
Full-Stack
Cloud Infrastructure
SEO / Performance
Responsive UI
Devpost Winner Contender • 14-Crate Rust Daemon • Alexa+ MCP Server
ARGUS
Autonomous Voice-Native Linux Agent Daemon
An autonomous, voice-native operating system daemon that decomposes natural language developer directives into deterministic shell executions. Built with a self-hosted Streamable HTTP Model Context Protocol (MCP) server, Linux Landlock LSM sandboxing, and a 4-tier neural speech synthesis cascade at native 48kHz.
Sub-100ms system capability and diagnostic audit via argusd doctor.
Autonomous port 8080 collision diagnosis and safe SIGTERM process liberation in 205ms.
Kernel-level memory safety via Landlock LSM rulesets, seccomp-bpf, and HMAC capability tokens.
100% pass rate across 151 end-to-end integration tests.
Rust
Linux Landlock LSM
Model Context Protocol (MCP)
Alexa+
Next.js
Audio Synthesis
cgroups v2
Bash
Qloo Agentic AI Hackathon ($50k Pool & JCal Angel Challenge)
CULTURA
Autonomous Cultural Intelligence & Taste Agent
An autonomous multi-modal cultural recommendation agent grounded in Qloo’s 250M+ Entity Taste Graph, eliminating LLM hallucinations across music, film, dining, literature, and travel.
Autonomous ReAct planning loop with schema-validated Pydantic tools performing cross-domain graph traversal in <250ms.
Synthesizes geographically and temporally optimized 48-hour itineraries across top cultural hubs.
Resilient dual-mode architecture: asynchronous HTTP client + deterministic offline cache with 100% automated test pass rate (pytest).
Dual interfaces: production terminal CLI (Typer + Rich) and interactive web dashboard (Streamlit) with live mapping.
Python
Qloo API
Pydantic
Asyncio
Pytest
Typer
Rich
Streamlit
FastAPI
02 / TECHNICAL ARSENAL
From the kernel to the interface.
AI & Agentic Systems
Multi-Agent ReAct Loops, Model Context Protocol (MCP), Tool Calling, Pydantic, Prompt Engineering, Neural TTS/STT.
Backend & Cloud
Python (Asyncio/FastAPI), Node.js, REST APIs, AWS EC2, GitHub Actions CI/CD.
Frontend & Interfaces
Next.js, TypeScript, Tailwind CSS, Streamlit, Rich CLI Tooling.
Systems & Infrastructure
Rust, Linux Kernel Primitives (Landlock LSM, seccomp-bpf, cgroups v2), POSIX IPC, Unix Domain Sockets, Docker.