I am a senior Computer Engineering student at Stony Brook University. As an aspiring product manager and engineer, I am passionate about bridging project management, software engineering, and embedded systems design to build user-focused hardware and software products.
Currently, I am an IoT Data Analyst at Enertiv, where I am empowering building owners with data-driven insights by expanding our Internet-of-Things (IoT) sensor network and developing new hardware products.
Additionally, I am an Instructor in Stony Brook University's Science and Technology Entry Program, where I teach introductory programming to underrepresented minority and low-income high school students.
Previously, I was the President and a Project Manager of the Stony Brook Robotics Team, Stony Brook's largest engineering design team, where I led a group of over 50 students across 3 engineering teams in competition-based engineering projects.
Here are a few things I am experienced with:
Organization. Time management. Discipline. In my projects, I strive to apply these fundamental concepts to create understanding, to break down tasks, to set priorities and to collaboratively develop an action plan to exceed all the goals.
With a strong foundation in Computer and Software Engineering, I am passionate about the design and development of hardware and software that can meet user needs, provide a seamless experience and deliver robust functionality.
Leadership isn't just managing people; it's inspiring, motivating, and mentoring your team so that they can perform at their best. In my leadership roles, I endeavor to empower my team, to lead by example and to maintain accountability.
A wireless controller with serial interfaces for embedded applications.
An autonomous racing vehicle project, focused on developing a robot capable of traversing simulated urban street environments for the 2020 International Autonomous Robot Racing Competition.
A remote-controlled and autonomous-capable Mars Rover, built for the 2019 University Rover Challenge. The rover utilizes computer vision and a multi-part algorithm to traverse rough terrain.
An LED sign with motion detection on a custom-designed printed-circuit board with an on-board STM32 microcontroller and a motion sensor.
A four-stage pipelined unit in VHDL, with an assembler in Python, that inputs a reduced-set of multimedia instructions in Assembly and operates on three data elements.
A web application designed to calculate the optimal type of renewable energy source and associated costs based on your location. Won Honorable Mention and the Wolfram Award at InnovateIT 2019 at Stony Brook University.