- Designed algorithm using multiple smartphones to detect an approximate location of the shooter in real time.- Designed UI for an android app to allow visual perception of distance and direction- Designed algorithm for time synchronization across multiple device- App designed for state of emergency where internet is not a given.

- Designing Raspberry Pi system with Dark Field Illumination to view a layer of particles- Using Optical Flow CV to plot vector field of particle movement and track speed

- Collaborate with NOAA scientist to design and build a calibration system for the visible infrared imaging radiometer suite (VIIRS) on the NASA/NOAA Suomi-NPP and JPSS-1 satellites- Developed system to position camera and infrared sensor to the correct azimuth and zenith to point at the satellite at a predefined time and take a picture to identify atmospheric conditions- Implemented system using Raspberry Pi, Arduino, Inertial Measurement Unit, servo-controlled pan-tilt system, to position the instrument and record image and sky temperature- Coded in Python, Arduino, and Unix to control the system, record and transmit the results- Designed and 3D printed gimbal system and other electronic housing components

Tutor Math (including Calculus and Differential Equations), Physics, Chemistry and Engineering

- Built photo diode circuit for high speed auto adjustment of camera settings- Analyzed system to optimize image quality.

- Assembled high speed computer system for multi-threaded programming and GPU computations- Used multiple high-speed Basler Gen-I cameras (1000fps) to see abnormalities in laser beam- Programmed in C++ utilizing Qt, arrayfire, Open CV, pylon, stdlib, etc.- Built a device for aligning lens in a Faraday cage

- System Architect. Selected sensors, processor and programming language- Characterized and calibrated thermopile Voltage Temperature characteristics- Designed and built amplifiers to amplify voltage signals with high impedance.- Selected as best poster.

- Used 2 LEDs: IR and red and CdS photoresistor powered by Arduino to measure oxygen levels

- Used MATLAB to run various field of view scenario simulations- Evaluated different sensors to be integrated on the car for autonomous operations- Tested Nvidia Jetson TX2 for edge sensing and distance calculations using OpenCV and C++- Implemented sensor fusion algorithms. Now researching deep neural networks in Python.

- Developed Raspberry Pi based camera and printer system using Python and Unix

- Used Arduino and Hall Effect Sensors to design and implement the system