Reuben Mulholland

585-***-**** ● Mount Sinai, NY ● ac73je@r.postjobfree.com ● linkedin.com/in/reuben-mulholland-107332a4/

Education

Stony Brook University GPA: 3.75

Bachelor of Engineering in Computer Engineering August 2014 – May 2018

Master of Science in Computer Engineering Expected Graduation: December 2019

Technical Skills

Languages: C, C++ (Data Structures), Java (Data Structures), Embedded C, Assembly, VHDL, SystemC, Arduino, UNIX, MATLAB, Python

Programs: Autodesk Inventor, AutoCAD, Atmel Studio, Microsoft Office, OrCAD, PSPICE, Visual Studio, Eclipse, NetBeans, Arduino IDE, Cadence Virtuoso

Projects/Accomplishments

Heartbeat Monitor

Implemented with a modular design in Assembly using ATmega16A microcontroller

Heartrate displayed with LCD display

All subroutines were coded in Assembly language

Automated Surface Observing System (ASOS)

Coded weather observing system in Embedded C that measures and displays pressure, dew point, humidity and temperature using ATmega128 microcontroller

Honeywell HumidIcon implemented, performed ADC conversions

Chilled Mirror Hygrometer used in the system to detect dew point using LED, mirror and photodetector

MPXH6130A Pressure Sensor continually measured atmospheric pressure

4x4 keypad was implemented into the system using interrupts and table lookup

Toggle display of observed measurements shown on LCD with 3 Line/16 character per line display using SPI

CMOS Pipelined Synchronous 8-bit Carry Select Adder

Physical layout of carry select adder and all of its components were drawn using Cadence Virtuoso

Static CMOS layout of the design followed 45 nm design rules and successfully passed both DRC and LVS

Layout consisted of 1-bit mirror adders as a building block which were cascaded to form 8-bit adder

The final design was simulated in HSPICE to verify functionality

Object Localization using Webcams

Coded in Python using Matplotlib and Google’s TensorFlow API libraries

In making a prototype, OpenCV was used for the detection of tennis balls

System that can localize RC drones using multiple webcams visualized on a 3D coordinate system

Three webcams were positioned to view drone on X, Y and Z planes to capture data for tracking movement

Camera was trained to recognize a drone using 250 pictures taken from various angles and lighting

Employment History

Satin Fine Foods Optimization Specialist Intern May 2017 – August 2017

Entered and analyzed data in Microsoft Excel for international and domestic Satin Fine Foods partners

Responsible for set up, maintenance, and operation of new QL800 industrial label printer

Trained production staff on troubleshooting techniques and utilization of QL800 printer

Filled in for packaging supervisor to print commercial and retail labels off the Kiaro! and Zebra printers

Satin Fine Foods Seasonal Production Worker February 2014 – May 2017

Mastered the intricacies of the process flow within the packaging and production departments

Coordinated with quality to ensure that product being produced met quality standards (ISO 22000)

Residential Safety Program Desk Monitor October 2016 – January 2017

Maintained safety and security in a resident hall containing 500+ occupants with the use of 30+ codes

Assisted campus officials and emergency personnel in case of emergency

Contact this candidate