At Amber, I've been deeply involved in defining, designing, and launching IoT hardware products for food monitoring, traceability, and agricultural process automation.Over 5+ product iteration cycles, I've contributed in the following areas:Product Design: Product definition, CAD, tight integration with EE, tooling, sourcing, QC, product launch, maintenance, and support.IoT Embedded Systems: Event-driven embedded software development, sensor drivers (I2C/SPI), interfacing with cloud stack, hardware integration & test, and IoT device fleet management.Modeling and Data Science:Development of a grain storage simulation model in python, validation and tuning against literature and Amber sensor datasets, deployment on AWS ML infrastructure.Internal Tools:Python and low-code JS tools for automating processes in manufacturing, testing, and device fleet management

TA for ME218, Stanford's yearlong graduate mechatronics sequence.

Researching mechanisms that enable micro air vehicles to perch on elevated surfaces mid-flight.

TA for Stanford's ME112 undergrad course on Mechanical Systems Design.

Designed fitness hardware, wearables, and related products. Most notable project: Forerunner 935.

Improved selection of materials for wearable body temperature sensor by controlling thermal conductivities of silicone encapsulates. Designed an internally-heated head model for device testing.