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Staff Applied Engineer, Deepgram
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software development empowers me to express an abstract vision in a concrete form that I can share with other people. For me, coding catalyzes creation, communication, and collaboration. My fascination with cognition inspires my enthusiasm for artificial intelligence, natural language processing, psychology, linguistics, and the nature of relationships between humans and computers.
University of Wisconsin-Madison
Master of Science - MS, Computer Sciences
N/A – Present
Carleton College
Bachelor of Arts - BA, Computer Science, Cognitive Science
N/A – Present
Deepgram
Staff Applied Engineer
April 1, 2026 – Present
Deepgram
Senior Applied Engineer
April 1, 2025 – April 1, 2026
Deepgram
Applied Engineer
May 1, 2023 – April 1, 2025
WellSaid Labs
Senior Machine Learning Engineer
September 1, 2022 – May 1, 2023
Remote
Amazon
Machine Learning Engineer - AWS AI Platforms
March 1, 2021 – September 1, 2022
Amazon
Data & ML Engineer - AWS Professional Services
June 1, 2019 – March 1, 2021
Amazon
Data Engineer II - Alexa Artificial Intelligence
May 1, 2019 – May 1, 2019
Amazon
Data Engineer - Alexa Artificial Intelligence
July 1, 2017 – April 1, 2019
HubSpot
Software Engineer
June 1, 2016 – July 1, 2017
Cambridge, MA
Stroll Health
Software Engineering and Web Content Extern
December 1, 2015 – December 1, 2015
Berkeley, CA
Ameriprise Financial Services, Inc.
Technology Intern
June 1, 2015 – August 1, 2015
Minneapolis, MN
University of Wisconsin-Madison Computer Science Department
Software Engineering Research Assistant
June 1, 2014 – August 1, 2014
Madison, WI
Carleton College Academic Support Center
Writing Tutor
September 1, 2013 – March 1, 2016
Northfield, MN
Carleton College Academic Support Center
Software Engineering Research Assistant
June 1, 2013 – August 1, 2013
Northfield, MN
Author Emulator
November 1, 2015 – Present
• Developed a command-line program that builds a language model to generate original, grammatical sentences in the lexical and syntactic style of American author Ernest Hemingway • Coded in Python using the Natural Language Toolkit (NLTK) and Stanford Parser APIs • Worked in team of 2 students for a Natural Language Processing course during fall 2015
Topic Detection of News Articles
September 1, 2015 – March 1, 2016
• Developed a program that accepts users’ topics of interest and notifies them when news events occur related to those topics • Integrated Java article downloader, Python text analysis of news articles and users’ queries, Postgres database, and Python web interface with Flask framework • Implemented basic system using keyword-matching algorithm, along with several more sophisticated methods of topic detection including clustering and semantic analysis • Worked in team of 6 students for senior capstone project
Basketball Web Application
May 1, 2015 – June 1, 2015
• Developed a web application that calculates player efficiency ratings (PER) and other statistics for all 180 basketball players on the 11 teams in the men’s Minnesota Intercollegiate Athletic Conference • Integrated database calls enabling users to filter player statistics by surname, team, and league rank • Implemented the application in Python with Postgres database and HTML & CSS front-end • Worked in a team of 2 students for a Software Design course during spring 2015
Predator–Prey Evolutionary Algorithm
May 1, 2015 – June 1, 2015
• Developed a predator-prey simulation in which wolves evolve cooperative strategies to hunt sheep • Implemented genetic programming algorithm that generates trees of possible movements, and through ‘evolution’ of 1000 generations, selects for wolves with the best cooperative hunting strategies • Built a command-line interface that accepts a text file containing 30 parameters, allowing users to adjust the algorithm’s variables without recompiling the program • Coded in Java in team of 3 students for an Evolutionary Computation course during spring 2015
Music Visualizer Web Application
August 1, 2014 – Present
• Developed data visualization web application allowing users to explore song data for all 60 songs on the 5 studio albums released by the British rock band Arctic Monkeys • Implemented browser user interface enabling users to click pie charts, bar graphs, and data tables to filter/sort data by song title, album, track number, song length, beats per minute, and view song lyrics • Coded in JavaScript, HTML & CSS, with D3, Crossfilter, and Dimensional Charting libraries • Worked individually during summer 2014
Amazon Web Services DevOps Engineer - Professional
Amazon Web Services (AWS)
June 24, 2026 – Present
CompTIA Security+
CompTIA
June 24, 2026 – Present
Amazon Web Services Alexa Skill Builder Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Amazon Web Services Machine Learning Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Amazon Web Services Big Data Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Amazon Web Services Solutions Architect Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from web applications to evolutionary algorithms and natural language processing, indicates a broad intellectual curiosity and willingness to explore different technical domains. Their experience at both large enterprises (Amazon, HubSpot) and smaller, specialized companies (Deepgram, WellSaid Labs) suggests adaptability to various work environments. The progression in roles and continuous learning through certifications align with a growth-oriented culture. However, the majority of their professional experience leans heavily into Machine Learning and Data Engineering, which, while valuable, might require a deeper dive into pure backend system design and distributed systems for a general Backend Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a customer-facing engineer and a writing tutor suggests strong communication and interpersonal skills. Their project diversity indicates adaptability and a problem-solving mindset. The progression through roles at Deepgram (Applied Engineer to Staff Applied Engineer) and Amazon (Data Engineer to ML Engineer) demonstrates a capacity for growth and taking on increasing responsibilities. The focus on ML inference, containerization, and self-hosted deployments aligns well with operational aspects of a backend role, especially in a high-performance environment.