I Build Intelligent Systems That Ship

From IoT telemetry to custom hardware solutions

Physical computing systems built to capture telemetry from real devices, move that data into usable pipelines, and create custom hardware solutions when off-the-shelf equipment is not enough.

• IoT telemetry capture from sensors, machines, and edge devices
• Custom mechanical systems (dispensers, conveyors, positioning rigs)
• ESP32/Raspberry Pi edge device programming
• GPIO control for motors, servos, sensors, cameras
• Edge-to-cloud telemetry pipelines (AWS IoT Core, Azure IoT Hub)

Autonomous systems that reason, decide, and act

Agentic workflows where Claude/GPT models orchestrate multi-step processes autonomously: analysis, decisions, actions, exceptions, and human-in-the-loop review.

• Autonomous AI workflows (n8n, Make, custom orchestrators)
• RAG pipelines with vector databases and semantic search
• Multi-model orchestration (GPT-4, Claude, Azure OpenAI)
• Conversational AI with persistent memory (Xlink-Sage pattern)
• Document analysis and intelligent data extraction

Teaching machines to see and understand

Models deployed on edge devices processing real-world inputs in realtime: detection to 95% F1, OCR at 99.8% accuracy, sub-400ms TFLite inference.

• Custom object detection model training (Edge Impulse, TensorFlow)
• Edge deployment (TFLite on Raspberry Pi, embedded devices)
• OCR pipelines with intelligent routing and validation
• Azure Computer Vision & Cognitive Services integration
• Image capture systems (industrial cameras, night vision)

The infrastructure that makes everything else possible

Pipelines, warehouses, and backend systems that turn raw operational chaos into structured, trustworthy data across SQL ecosystems and modern ETL.

• Data warehouse design and implementation (Azure Synapse)
• ETL architecture (Talend, SSIS, Azure Data Factory)
• Database optimization and query performance tuning
• REST API development and backend services
• Realtime streaming and event processing

Fullstack business systems that teams actually use

Operational apps with RBAC, audits, offline capability, and integrations, built on Power Platform and React/Supabase.

• Warehouse and inventory management systems
• Custom PowerApps with SharePoint/SQL integration
• React + TypeScript apps with Supabase backend
• Offline-first PWAs with barcode/QR scanning
• Role-based access control and row-level security

Operational visibility that drives decisions

30+ KPI dashboards, enterprise BI, automated reporting, and DAX/semantic models backed by solid engineering.

• Enterprise Power BI implementations with advanced DAX
• Realtime operational dashboards with live data
• Automated report generation and distribution
• Data modeling and semantic layer design
• QlikView to Power BI migration

From IoT telemetry to custom hardware solutions

Physical computing systems built to capture telemetry from real devices, move that data into usable pipelines, and create custom hardware solutions when off-the-shelf equipment is not enough.

• IoT telemetry capture from sensors, machines, and edge devices
• Custom mechanical systems (dispensers, conveyors, positioning rigs)
• ESP32/Raspberry Pi edge device programming
• GPIO control for motors, servos, sensors, cameras
• Edge-to-cloud telemetry pipelines (AWS IoT Core, Azure IoT Hub)

Autonomous systems that reason, decide, and act

Agentic workflows where Claude/GPT models orchestrate multi-step processes autonomously: analysis, decisions, actions, exceptions, and human-in-the-loop review.

• Autonomous AI workflows (n8n, Make, custom orchestrators)
• RAG pipelines with vector databases and semantic search
• Multi-model orchestration (GPT-4, Claude, Azure OpenAI)
• Conversational AI with persistent memory (Xlink-Sage pattern)
• Document analysis and intelligent data extraction

Teaching machines to see and understand

Models deployed on edge devices processing real-world inputs in realtime: detection to 95% F1, OCR at 99.8% accuracy, sub-400ms TFLite inference.

• Custom object detection model training (Edge Impulse, TensorFlow)
• Edge deployment (TFLite on Raspberry Pi, embedded devices)
• OCR pipelines with intelligent routing and validation
• Azure Computer Vision & Cognitive Services integration
• Image capture systems (industrial cameras, night vision)

The infrastructure that makes everything else possible

Pipelines, warehouses, and backend systems that turn raw operational chaos into structured, trustworthy data across SQL ecosystems and modern ETL.

• Data warehouse design and implementation (Azure Synapse)
• ETL architecture (Talend, SSIS, Azure Data Factory)
• Database optimization and query performance tuning
• REST API development and backend services
• Realtime streaming and event processing

Fullstack business systems that teams actually use

Operational apps with RBAC, audits, offline capability, and integrations, built on Power Platform and React/Supabase.

• Warehouse and inventory management systems
• Custom PowerApps with SharePoint/SQL integration
• React + TypeScript apps with Supabase backend
• Offline-first PWAs with barcode/QR scanning
• Role-based access control and row-level security

Operational visibility that drives decisions

30+ KPI dashboards, enterprise BI, automated reporting, and DAX/semantic models backed by solid engineering.

• Enterprise Power BI implementations with advanced DAX
• Realtime operational dashboards with live data
• Automated report generation and distribution
• Data modeling and semantic layer design
• QlikView to Power BI migration