• Headed ESP32 firmware development for Smart Nora's new Pebble 2.0, a machine learning IoT anti-snoring device

• Engineered the product's entire data flow architecture - from audio generation to serial bus transmission, to post-processing in the cloud

• Built an AWS pipeline that communicated S3 bucket events through SQS queues and CloudWatch alarms to direct AutoScale cluster scaling policies - reducing costs by 90%

• Utilized C sockets to build an IETF compliant DNS server on the ESP32 - allowing users to connect via a captive portal

• Pioneered a protocol for inter-processor communication over an SPI serial bus to send & receive audio data at a throughput of 192 kBit/s

• Eliminated dropped audio data packets through a custom SHA-256 encoded multi-part upload scheme over TLS

• Constructed a debugging and deployment pipeline utilizing SEGGER J-link tools - halving test time

• Halved snore detection classifier debugging times through the creation of CLI plotting tool using matplotlib