North Carolina Software Engineer

Daniel Orozco

**** **** ***** **. **********, NC 28075

704-***-**** *******@******.***.***

Education

Carnegie Mellon University, Pittsburgh, PA May 2025

M.S., Electrical and Computer Engineering, Department of Electrical and Computer Engineering

University of North Carolina at Chapel Hill, Chapel Hill, NC May 2021

B.S., Biomedical and Health Sciences Engineering, Joint Department of BME at UNC and NC State

Minor in Computer Science

Dean’s List (Fall 2017, Spring 2018, Fall 2018, Fall 2019)

Work Experience

UNC School of Medicine, University of North Carolina at Chapel Hill Aug 2019 – May 2021

Undergraduate Research Assistant: Mucociliary Clearance and Aerosol Research Laboratory

Developed Python image processing program to pinpoint regions of high and low particle deposition in respiratory tract using images produced by gamma scintigraphy

Assisted in clinical studies of various aerosol (e-cig, wood smoke, hypertonic saline) deposition in the respiratory tract using gamma scintigraphy to generate images

Ran studies on polydispersed aerosols with cascade impactors to generate data associated with particle size and deposition in the respiratory tract

Department of Biomedical Engineering, University of North Carolina at Chapel Hill Aug 2018 – May 2019

Researcher: Ultrasound Imaging and Transcranial Super-Resolution Imaging Laboratory

Developed 3D CAD models for securing transducer in experimental setup of simulation of transcranial ultrasound

Performed experiments using the models and transducer to image objects ranging from standing wires to moving microbubbles

Fixed blurry images by developing new model for experimental setup and redesigning transducer holder

Projects

Machine Learning Translation Model Web Application June 2022 – Jan 2023

Carnegie Mellon University

Designed and implemented machine learning pipeline for web application to translate audio from user-uploaded videos. Applied noise reduction by spectral subtraction and used LAS and XLSR for training and testing transcriptions. Post-processed transcriptions for profanity censoring.

Deep Neural Networks, Deep CNNs October 2021 – May 2022

Carnegie Mellon University

Implemented and trained these algorithms using SGD under different cost functions in Python and adjusted hyperparameters to minimize validation error. Built deep CNN for image classification using PyTorch.

Decision Trees, NLP Logistic Classifier, Hidden Markov Models, Q-Learning Linear Func. Aug – Dec 2021

Carnegie Mellon University

Designed and implemented each of these models in Python for training on large datasets. Models were then tested on validation datasets and the errors were compared.

Electronic Periodontal Probe Prototype Jan 2021 – May 2021

University of North Carolina at Chapel Hill

Wrote script for the microcontroller of electronic periodontal probe that indicated the proper amount of pressure to be applied during probing for a more accurate assessment of a patients’ progression of periodontitis

GUI for Automating Image Analysis of Hot and Cold Spots in Lung Deposition 2019 – 2021

Mucoclliary Clearance and Aerosol Research Laboratory

Self-directed project using Python to automate the image processing and analysis of lung images produced by gamma scintigraphy. Interface outputs patients hot and cold spots after user selects images.

Data Structures Development Aug – Dec 2019

University of North Carolina at Chapel Hill

Created several different data structures including Binary Search Trees, Binary Heaps, Splay Trees, and Weighted Digraphs for organizing and retrieving records of names and ages

Simulation of Transcranial Super-Resolution Imaging Jan – June 2019

Ultrasound Imaging and Transcranial Super-Resolution Imaging Laboratory

Designed Ultrasound transducer holder using SolidWorks and Adobe Illustrator

Laser-cut and 3D printed parts to assemble transducer holder

Repeated experiment using trial and error techniques to improve the resolution and minimize movement of the transducer

GUI Sushi Conveyor Belt Game Jan – May 2019

University of North Carolina at Chapel Hill

Developed GUI for sushi belt game in Java using OOP. Interface generates customizable sushi dishes under user-defined conditions such as price and position on the belt.

Skills

Programming Languages: Imperative programming languages: Java, Python, C, MATLAB

Assembly languages: MIPS

Declarative programming: SQL

Experience working with Relational Databases and NoSQL Databases

Prototyping and Circuit Design:

SolidWorks, Fusion 360, AutoCAD, LabVIEW, EagleCAD, Fritzing, Multisim, Adobe Illustrator, Arduino (digital/analog circuitry, microcontrollers).

Experience with:

Wolfram Mathematica

Fluent in Spanish (Read and Write)

Contact this candidate