Staff Edge Engineer & Edge AI Architect

http://bright.ai

Staff Edge AI Engineer responsible for architecting the edge AI execution layer for production-grade physical AI systems used in real-world infrastructure and field operations. Leading work across edge inference, hardware-aware machine learning deployment, and scalable platform abstractions supporting multiple real-world Physical AI applications.

https://www.digi.com/

• Owned the X-ON IoT platform end to end, setting system architecture and technical direction across embedded, edge, and device-to-cloud layers, while aligning the technical roadmap with product strategy to drive platform growth and recurring ARR
• Architected and built end-to-end device-to-cloud systems, spanning core system functionality across devices, edge, and platform layers, including embedded firmware and software, hardware, wireless modules, gateways, and cloud services
• Created and released an open-source XBee C SDK, improving developer experience and enabling consistent integration across device families
• Researched, prototyped, and proposed emerging technologies to product and executive leadership, influencing platform direction and roadmap decisions, including edge AI initiatives
• Partnered closely with Product, Cloud Engineering, RF, Security, Manufacturing, and Supply Chain teams to ensure systems shipped reliably at scale
• Mentored engineers and raised the technical bar through architecture reviews, code reviews, and improved development practices
• Founded and led Digi’s internal AIoT Council, driving cross-functional technical alignment on edge AI strategy, platform integration, and execution readiness across product and engineering teams

• Founded and operate BitWize, an independent embedded systems, IoT, and Edge AI consulting practice supporting startups and product teams from early development through production.
• Provide hands-on consulting across embedded firmware and embedded software, hardware architecture, low-power and solar-powered systems, wireless and RF connectivity, and device-to-cloud IoT integration.
• Consulted on smart infrastructure and energy systems, including a school-zone connected IoT system built on Particle.io and a solar backup charging platform, where I stabilized DSP-based controller firmware to improve system reliability.
• Deliver ongoing and repeat engagements for multiple clients (some confidential), supporting firmware stabilization, system architecture, and product scaling for connected devices and IoT platforms.
• Manage all aspects of the consulting practice, including technical delivery, system architecture, client engagement, project scoping, billing, and finance, operating from a dedicated engineering lab and supporting on-site collaboration as needed.
• Actively expanding BitWize to offer Edge AI and AIoT consulting, focused on deploying ML/AI on embedded and edge devices and integrating intelligence into production IoT systems.

https://www.abb.com/

• Led modernization of industrial automation and controls software across a distributed team, spanning embedded Linux HMI, web-based UI, and backend data acquisition systems used in production controller environments
• Overhauled embedded Linux touchscreen UI stacks, including firmware-level improvements to input handling and rendering performance for industrial controllers
• Re-architected database schemas and Windows-based backend services supporting controller data acquisition and management, improving reliability, performance, and maintainability in production deployments
• Built and integrated production services using Python, SQL, and SNMP, enabling improved device monitoring, control, and data flow across industrial systems
• Led and mentored engineers in a remote / hybrid environment, providing technical direction, code reviews, and hands-on support to unblock execution and deliver delayed projects to production
• Improved development efficiency and software quality across embedded and web teams by introducing stronger engineering practices, tooling, and review standards

• Built and shipped end-to-end LoRaWAN device-to-cloud products, spanning embedded firmware for wireless modules and end devices and embedded Linux (Yocto) software for industrial gateways, forming the core platform that drove Digi International’s acquisition of Haxiot
• Delivered low-power industrial and sensing devices optimized for constrained networks, including proprietary protocol-bridging solutions (e.g., Modbus over LoRaWAN) and a production low-power sensing device with multi-year battery life integrated with the X-ON LoRaWAN platform
• Led technical execution for production readiness, including manufacturing scale-up, regulatory certification, and close collaboration with company leadership to align technical decisions with business priorities in a fast-moving startup environment
• Supported post-acquisition scaling and integration of Haxiot products into Digi’s production portfolio

https://www.quantumiot.com/

• Developed end-to-end IoT systems spanning embedded firmware, sensor integration, cellular connectivity, MQTT, and cloud integration, delivering production solutions across multiple customer verticals (e.g. smart city, asset tracking, etc) in a consulting-driven environment
• Built embedded firmware in C/C++ for connected devices, including vehicle tracking systems publishing OBD, location, and driver behavior data, with support for cellular communication, FOTA/COTA, and reliable cloud ingestion
• Designed and implemented sensor-rich edge devices for industrial and commercial applications, integrating diverse sensors (temperature, humidity, weight, motion, current, cameras) to support monitoring, control, and analytics use cases
• Performed LoRaWAN R&D and prototyping, building private LoRaWAN networks including gateway implementations, sensor nodes, and backend ingestion services to evaluate feasibility for early customer deployments
• Worked closely with company leadership, partners, and customers to translate ambiguous requirements into shippable systems, contributing across hardware bring-up, embedded software, installation, and field testing

• Developed device-side software for digital oilfield automation systems, running on embedded Linux (Raspberry Pi) platforms used for field monitoring and control
• Built Node.js–based applications on edge devices to interface with sensors, automation hardware, and PetroCloud’s existing backend systems
• Integrated edge software with upstream platforms, ensuring reliable data collection, monitoring, and automation in field deployments
• Worked in a fast-moving startup environment, collaborating closely with hardware and platform teams to support rapid iteration and deployment

https://entouchcontrols.com/

• Designed and implemented embedded software for connected energy management products in a fast-moving startup environment, contributing to cloud-connected lighting controls, sensor monitoring devices, and smart thermostats deployed at national retail and restaurant chains
• Developed bare-metal firmware on microcontroller-based platforms used for lighting controllers and remote sensor monitoring devices, integrating sensors and wireless communication to transmit data to gateways and cloud platforms
• Built wireless lighting control and sensor monitoring systems on resource-constrained MCUs, supporting scheduling, events, remote overrides, and sensor-driven automation in commercial environments
• Contributed to embedded Linux–based thermostat platforms, designing HVAC control state machines, implementing PID control algorithms, and developing GTK-based graphical user interfaces for local control and monitoring, alongside cloud-connected features
• Developed web-based tools for device data access, reporting, and remote control, supporting operations, diagnostics, and customer use cases
• Participated across the full product lifecycle, including hardware bring-up, embedded development, testing, manufacturing support, and automated production testing

• Developed embedded C firmware for MSP430-based sensor nodes, supporting data collection from wireless monitoring sensors
• Implemented and modified gateway-side C code to receive, aggregate, and process sensor data from field-deployed devices
• Configured and integrated wireless sensors using TI SimpliciTI–based protocols, supporting network setup and reliable data communication
• Gained hands-on experience with embedded systems, low-power wireless communication, and sensor-to-gateway data flows in an early IoT environment

• Supported manufacturing planning and execution for structural steel products used in highway and infrastructure projects, contributing to on-time delivery of large-scale builds
• Created AutoCAD drawings and programmed CNC machines to cut and prepare steel components to specification
• Coordinated with factory floor teams to translate drawings and schedules into executable production workflows
• Analyzed material requirements, managed inventory needs, and supported procurement to keep production on schedule