I design and implement AI-powered operational systems that replace manual workflows, reduce costs, and enable scalable execution — without increasing headcount.
Autonomous agents execute repetitive workflows continuously without supervision or fatigue.
Reduce operational overhead and avoid human error without sacrificing quality or control.
Systems grow with your business, enabling higher throughput without linearly increasing headcount.
Clear architecture and intentional abstractions ensure your systems remain predictable and maintainable.
Coordinated AI agents that automate your most labor-intensive operations
Resolve tickets automatically across channels while maintaining service quality
Learn more →Monitor competitor activity and generate actionable pricing recommendations
Learn more →Forecast demand, detect anomalies, and anticipate stockouts
Learn more →Automate invoice processing and reconciliation with minimal supervision
Learn more →Thoughts on system design, AI agents, and building scalable operations
🟠 In this final article, I connect the embedded AI device to the real world. I describe how inference results leave the MCU, travel through MQTT and H...
Read more →🟠 In this article, I walk through the complete TinyML lifecycle on a microcontroller — from dataset preparation and model training to running TensorFl...
Read more →🟠 In this article, I'll explain the hardware I'm using in my AI device project, why I chose it, and how I structured the firmware in Rust. This is t...
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