Rocky Hill, Connecticut, United States
Embedded System Design|IoT|wearables|WSN Enthusiastic Embedded Engineer always looking for internships or projects to improve skills in Embedded designing and smart networked systems. Currently pursuing masters in Computer Engineering in one of the prestigious universities in the US - Northwestern University. Interests include image processing, IoT, Computer Networks, Computer Vision. Always looking for some way to improve in any or all of the above fields. Have demonstrated knowledge in Automotive Electronics, PCB designing, Embedded Firmware Development.
Research Assistant at HABits Lab at the Department of Preventative Medicine focusing on wearable devices and machine learning to help detect, understand, and predict behavior. - Designed, built, and deployed end-to-end mHealth systems with improved sensing techniques and power-saving mechanisms using an appropriate embedded system design. - Implemented BLE capabilities to existing firmware on many devices to improve the reliability of the data by allowing the researchers to track the device usage by the participants of the study. - Reworked the python-based pipeline to analyze the data from various wearable devices as a part of a study monitoring information about an individual's eating activity. - Extensively tested devices with real-world scenarios to ensure flawless working of the devices before deployment.
Prototyped an MVP from off-the-shelf components to create a product that helps save ~15% on their monthly utility bills based on energy consumption and daily fluctuating utility peak rates. Defined project scope and deliverables to ensure consistency across design, customer insights, and development for the purpose of documenting a Request for Proposal (RFP).