• Built internal tooling, web and data preprocessing applications, data visualizations, and databases for machine learning pipelines.

• Improved and developed new features to our web app that gives the capability for users to test different ML architectures/networks on Syntiant chips which reduced the need for test engineers

• Developed and maintained RESTful API’s to leverage ML models and other back-end functionality.

• Built and designed React UI component library and CSS framework using TypeScript to centralize components for our web applications which improve developer experience and formatting.

• Developed internal tooling and CLIs with kubernetes and docker to preprocess audio signals to later train neural networks.

• Designed API’s that leverages CV models to analyze images for detection and generating new product purposes.

• Built a web scraping application using Python, selenium, and beautiful soup to gather over 10M image data samples from various sources such as Pinterest, Etsy, and Instagram to train computer vision models.

• Managed the data pipeline for computer vision models with AWS Amazon S3 databases.

• Developed open source, real-time mobile and web applications using PubNub’s DSN.

• Wrote technical documentation detailing software engineering projects for developers explaining

the build and implementation of PubNub’s DSN.

• Implemented a real-time IoT desktop security application using a PIR sensor to detect intruders

and then notify the user via a React Native security app.

• Real time alerts were transmitted from device hardware over PubNub’s publish-subscribe API.