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Software Engineer at Google
I am a data scientist and research engineer based in Denver, Colorado. I specialize in the pipeline from proof of concept through production ready prototypes. I have been a part of and lead successful multi-discipline teams to build AI powered web and mobile apps. I have skills and experience as a developer, researcher, and communicator. As a teacher turned data scientist I pride myself on my ability to explain complex ideas in a way anyone can understand. For the last 3 years I have worked in an R&D group building innovative solutions to complex problems in the worlds largest education company. I am currently a named inventor on more than 10 patent pending applications.
Northeastern University
Bachelor of Science (B.S.), Math and Physics
January 1, 2006 – January 1, 2011
Software Engineer
September 1, 2021 – Present
Boulder, Colorado, United States
Cigna
Technical Team Lead
January 1, 2021 – September 1, 2021
Denver, Colorado, United States
Cigna
Senior Software Engineer
October 1, 2019 – January 1, 2021
Denver, Colorado, United States
Pearson
Research Engineer: Machine Learning Specialist
December 1, 2016 – September 1, 2019
Centennial, CO
Galvanize Inc
Data Science Resident
July 1, 2016 – November 1, 2016
Galvanize Inc
Data Science Fellow
May 1, 2016 – July 1, 2016
Montessori School of Denver
Math Teacher
January 1, 2015 – May 1, 2016
Kaplan Test Prep
Instructor
February 1, 2014 – December 1, 2014
Denver Teacher Residency
Teacher
June 1, 2013 – December 1, 2013
Bedford Stem Cell research Foundation
Lab Technician
July 1, 2011 – May 1, 2013
John Hancock Financial Services
Actuarial Intern
July 1, 2010 – December 1, 2010
Greater Boston
PersonPrep
December 1, 2016 – March 1, 2018
Many students enter college lacking the study skills to get off to a good start. One of the most common problems sited by both students and teachers is struggling student not knowing how to effectively study for tests. Many students will simply read, and re-read the chapters they've been assigned. Pearson Prep is a product designed to address exactly that problem. Pearson Prep is a mobile app and a web plugin that allow students access to pre-made expert authored decks of flashcards that are aligned to their courses. It also allows them to add new cards or create their own decks from readings in their textbook or anywhere on the internet. Pearson Prep adds value by using Natural Language Processing to transform text students highlight into flashcards they can study later. It also uses behavior science to help student start studying earlier and more frequently. It even measures students mastery of each card to deliver a personalized study experience that will give them the most efficient use of their time. I developed the Natural Language Processing algorithms in this project and worked with software developers to implement them in a web and mobile framework. I also presented the findings and methods we developed as this product grew from proof of concept to prototype to a product in the app store.
Published Papers
September 1, 2012 – February 1, 2013
The Bedford Research Foundation had access to a unique population of men through our ability to provide invitro fertilization services to men who are HIV positive. We began a project to look at the trends of virus prevalence compared to other serology indicators. I was responsible for determining these trends and the statistical significance they held.
Remote Monitoring of Micro Algae Cultures
September 1, 2008 – December 1, 2008
Only a small fraction of the over 300 types of micro algae in the world have been studied. The major bottle neck for the research is the ability to effectively and repeatably culture a variety of diverse strains. I developed a system to remotely monitor and control the growth conditions of micro algae cultures.
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Pearson Certified Advanced Innovator
Patents@Pearson
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards data science, machine learning, and analytical roles, aligning well with a data-driven culture. Their involvement in personal projects and published papers demonstrates initiative and a passion for continuous learning and application of knowledge. The transition from teaching to data science, and then to software engineering and technical leadership, indicates a versatile individual who can adapt to different team dynamics and contribute across various technical domains. However, the target role is 'Data Analyst' while recent experience is more aligned with Software Engineer/Technical Lead, which might require a shift in focus back to pure analysis.
Soft Skills & Operational Fit
The candidate's experience as an instructor and team lead suggests strong communication, mentorship, and leadership skills. Their work on projects like 'Pearson Prep' indicates problem-solving and innovation. The diverse background, including teaching, shows adaptability and a structured approach to learning and delivery. The role at Cigna as a Technical Team Lead managing a cloud platform for ETL and ML needs indicates a strong operational fit for data-intensive environments.