Skills

Experience

Research Assistant

Shirley Ryan AbilityLab May 2019 – Present

• Programming Particle.io IoT microcontroller to perform HIPAA-compliant sensor data transmission over LTE

• Writing object-oriented C++ data pipelines from device hardware sensors to user-interactable AWS S3 endpoint

• Prototyping live Python matplotlib applications using AWS Lambda Functions, API Gateway, and EC2 Instances Engineering Co-Op

Kaleidoscope Innovations, Inc. May 2018-Aug 2018

• Led end-to-end revival of robotic arm project resulting in internal Python Flask web application and CLI

• Leveraged computer vision techniques to create environmental awareness and programmatic movement for arm

• Architected Robot Operating System publish/subscribe landscape to optimize data transmission scalability Research Assistant

Purdue Linnes Lab May 2017 – Aug 2017

• Collaborated on Device for Selective Collection and Condensation of Exhaled Breath (Application No. 62/693,001)

• Created signal processing algorithm to actuate device exhaust functionality based on exhaled breath temp

• Modeled and fabricated device exhaust/collection hardware using Arduino with temperature/CO2 sensors Engineering Co-Op

Cook Research, Inc. Aug 2015 – Aug 2016

• Performed Tukey Test statistical analysis on experimental results gathered based on GLP-driven bench tests

• Built MATLAB programs to automate employee statistical analysis, moving away from Excel spreadsheet methods

• Researched anatomy and created predictive mathematical physiological models to drive experimental design Projects

Senior Design – Technical University of Denmark github

• Photoplethysmography signal processing application suite to determine correlation between PPG and BP

• Data pipeline which periodically scraped long-term data in Unix environment to automatically build full dataset

• Collection of MATLAB reports/Jupyter notebooks built to analyze biometric signals and determine data correlation Atalantia Games live site

• PHP web application for Croi House Galway Stroke Rehabilitation Center managed by MySQL database

• Used in conjunction with Purdue Global Design of Assistive Technology Unity3D Leap Motion VR app

• Reports time series patient progress securely as rehabilitation is continued outside of clinical environment Dinogram github live site

• React.js/Express app that allows users to sign up for routine mailing newsletter with information on dinosaurs

• Python backend app using Selenium WebDriver to scrape data and send to mailing list via SMTP and MongoDB

• Full HTTPS MERN application interacting with external cron-run program to reliably deliver content to userbase Purdue 150th Event on Mitigating Human Trafficking competition site

• Drafted plans and timeline for PyTorch deep learning project to analyze large batches of web-scraped video data

• Worked with local law officials to develop methodology to cross-correlate missing person reports with web videos

• Secured second place in field of 50+ teams for ideas and designs which resulted from the hackathon ac91qd@r.postjobfree.com (708) – 256 – 1170 linkedin.com/in/mickeysmith2300 github.com/smit2300 Michael Sullivan Smith

Education

Purdue University Class of 2019

BS Biomedical Engineering

Minor: Computer Engineering

Commendations

• EPICS Leadership Award 2017

• EPICS Presentation Award 2015

• Presidential Scholarship (Quarter Tuition)

Python

§ PyTorch Tensorflow

§ Scikit-Learn SciPy

§ NumPy Pandas

§ Jupyter IPython

§ Selenium BeautifulSoup

§ PIL OpenCV

§ Flask Django

§

Programming

§ C/C++ MATLAB JavaScript

§ Algorithm Design Data Structures

§ Test-driven development

§ Web scraping Data pipelining

§ Unix/Linux server maintenance

§ MySQL MongoDB

Machine Learning Deep Learning

§ Predictive model generation

§ Transfer Learning CNNs

§ Computer vision Image processing

§ Biomedical image/pattern classification

§ Adaptive filtering Signal processing

§ Artificial signal generation/modeling

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