2021 — 2022
Brooklyn, New York, United States
Designed & developed interactive LED interface to assist real time wireless charging.
Used Node.js, JIMP & rpi_ws281x to program a 37x24 addressable LED grid running on Linux (Raspberry Pi 3 & 4, Raspbian & Bullseye OS).
Created custom animations by modulating frame/refresh rate, driver channels and LED render sequence.
Generated systemmd unit configuration files (.service) to manage LED program lifecycle.
Wrote shell scripts to auto launch LED service programs at client sites.
Programmed shorthand BASH aliases for I2C serial bus communications commands that are responsible for toggling cooling fans.
Brooklyn, New York, United States
2019 — 2020
Greater New York City Area
2018 — 2019
Greater New York City Area
Created a react-native IoT app from scratch to be the primary tool for conducting charging sessions between an electric/hybrid vehicle
and any HEVO Wireless Charger.
Developed the functionality to start/stop charging a car via the app while being able to monitor vitals such as power delivered, battery
gained, transmitter’s temperature and time to full charge using REST APIs to communicate with MySQL database.
Collaborated with backend developers to design APIs; directed specifications for requests, payloads and their data structures.
Integrated react-native map to plot EV charging stations and clusters (based on zoom level) with multipart progress circles that show
available, in-use and offline chargers at every station, in real-time.
Generated polyline coordinates using Google’s Maps API to display the ideal route from the user’s location to a selected charger followed
by a hand-off to Google, Waze and Apple Maps for initiation of turn-by-turn navigation.
Accompanied map view with a drawer list of nearby stations showing time and distance away from the user, search & autocomplete
functionality (using Google’s Places API), ability to ‘favorite’ a station and reserve a charger.
Detected when a car is in the vicinity of a reserved charger by polling the charger voltages and displayed real-time parking alignment to
ensure user aligns as closely as possible to the suggested calibration thus ensuring maximum battery charge.
Developed an algorithm to calculate the ideal car parking position in real-time and display the same on varying screen sizes by
formulating the multiplying coefficient based on selected charger’s voltage threshold.
Made the app robust to seamlessly pick up a charging session where it left off despite spotty internet issues, API failures, mid-session
phone calls or a dead phone battery.
2018 — 2018
Stoneham, Massachusetts
Updated and maintained Interpro Solutions' hybrid mobile application, EZMaxMobile.
Education
2015 — 2018
Northeastern University
Master of Science - MS
2015 — 2018
2010 — 2014
Datta Meghe College of Engineering
Bachelor of Engineering (B.E.)
2010 — 2014