Engineering
- Developed an algorithm on location services with machine learning engines for indoor location and asset tracking capabilities using Python and TensorFlow
- Automated and optimized the source code of an internal testing framework that stores results in backend MongoDB database
- Prototyped and implemented a voice AI Amazon alexa skill for tracking indoor assets and navigation tech
- Ideated and Spearheaded the engineering team in modernization of applications with the deployment of Amazon Lambda Function and EC2 containers
- Implemented a “drag and drop” feature for easy import of log files to a bug tracker tool to facilitate easy debugging for developers using Java swing
- Implemented a massively scalable open source MQTT Broker to withstand high amount of traffic data requests from sensors and other IoT devices
- Developed an end to end mobile application platform for seamless user experience on connected home technology using Android, Amazon IoT, Web services
Product Management
- Increased company revenue by 37% through coordinating product launch in partnership with delivery team, maximizing effectiveness and product experience of an indoor asset tracking system.
- Provided leadership, designing methodologies and best practices enhancing product definition, processes and customization for user needs. Managed product development lifecycle, product quality and customer satisfaction delivered product requirements.
- Led team of developers to drive mobile/IoT application product development, end to end, planning beta version release of products while collecting feedback and overseeing changes.
- While tracking performance of each customer activity stage, conducted market analysis for connected home technology and research, capturing technology feasibility and sustainability advantage over others in market space.
- Managed priorities based on time to market, requested build speed against specified region, and navigation based on indicated growth and creative planning.