•Accepted into Berkeley SkyDeck Batch 14 Cohort, receiving $200,000 in funding
•Winner of UC Launch Startup Accelerator Demo Day winning $25,000 cash prize
•Accepted into CITRIS Foundry (UC system incubator)
•Architected and implemented:
•Real-time video review cloud platform (AWS Lambda, S3, Aurora, SQS, Auth0, TypeScript)
•Web frontend for video review platform (React + TypeScript)
•Consumer + Delivery Driver mobile app (React Native + TypeScript, iOS + Android, Bluetooth LE)
•Hardware device firmware (Bluetooth LE communications with mobile app, battery power & charging management, interfacing with LED lighting controller via serial, prototyping NFC tap to pair Bluetooth to automate pairing via secure key exchange) (NVIDIA Jetson, C++)
•Hardware device software (computer vision & video recording via OpenCV, transcoding via FFmpeg, video upload to S3 & event publishing to cloud platform, C++)
•Prototyped adapting existing deep learning-based anomalous event detection to fit our specific use-case. Collected training data using our hardware and trained a model with the purpose of detecting stolen items. Promising results despite the limited training set. (Python, tensorflow)
•Led team of UC Berkeley Master of Engineering students designing hardware prototypes in CAD and 3D printing them utilizing SLA printers.