# Dan Lee

> Software Engineer @ YouTube

Location: San Francisco, California, United States
Profile: https://flows.cv/danlee

A software engineer (SWE) with over 7 years of SWE experience and a research background in AI/ML. I am always curious to learn and tackle new challenges.

## Work Experience
### Software Engineer @ YouTube
Jan 2024 – Present | San Bruno, California, United States
YouTube Shorts Consumption

### Software Engineer @ Google
Jan 2022 – Jan 2024 | Mountain View, California, United States
Interpreter Mode (IM): A google assistant feature where users can converse with another individual from a different language via live translations. https://blog.google/products/assistant/interpreter-mode-brings-real-time-translation-your-phone/
   - Designed and developed landscape mode for Interpreter Mode, which included decisions on trade‐offs, design decisions for different surfaces, and flag guarding.
   - Led the launch and organized bug bashes for landscape mode.
   - Collaborated with team members to design possible feature ideas for Interpreter Mode using LLMs.

Dual Screen Interpreter Mode: A revamped Interpreter mode experience on the Pixel Fold, which takes advantage of the concurrent triple screen setup to provide streamlined live translations between individuals. https://blog.google/products/pixel/feature-drop-fall-2023/
   - Designed, developed and successfully launched the Dual Screen Interpreter Mode for the Pixel Fold.
   - Led the design and launch of the inner screen for Dual Screen Interpreter Mode.
   - Collaborated with cross-functional teams across different time-zones.
   - Helped brainstorm and consult on the marketing demo. https://www.youtube.com/watch?v=veN7yMLhYVs&ab_channel=MadebyGoogle
   - Awarded a patent.

Interpreter Mode Platform Migration: A major platform update for Interpreter Mode to improve quality.
   - Led the design and development of a complex internal service end-to-end in order to decouple the handling of assistant query intents from language resolution.
   - Helped teammates ramp up on the new service through design docs and meetings.
   - Collaborated with different teams to sync development and launch timelines.
   - Investigated and analyzed large scale data to find the root causes of approximately 18% missing migration traffic.

### Software Developer @ GEOTAB
Jan 2020 – Jan 2022 | Oakville, Ontario, Canada
- Full-stack development experience using ReactJS, TypeScript, C#, Python, PostgreSQL, and BigQuery.
- Worked on feature end-to-end to reduce code technical debt and optimize HOS rulesets for the Drive app.
- Improved various features for the Drive app to streamline the experience for thousands of clients and efficiently meet ELD compliance. 
- Identified high-priority issues for important clients and resolved them quickly with minimal supervision.
- Mentored new software developers.

### Research Assistant @ Queen's University
Jan 2018 – Jan 2019 | Kingston, Ontario, Canada
- Authored two empirical software engineering research journals on large software distribution platforms.
- Developed and maintained large scale crawlers written in Python and PostgreSQL for mining software data.
- Sampled, cleaned and analyzed software data using statistical, machine learning and data mining techniques.
- Queried and visualized patterns of active modding communities with Python, R, and SQL.
- Built predictive models (e.g., logistic regression and random forest) with Python and R.
- Developed complex and robust modeling pipelines using various modeling strategies (e.g., feature selection) and statistical methods (e.g., ANOVA, cross-validation, and bootstrap sampling) to interpret models.
- Implemented natural language processing (NLP) pipelines using stemming, lemmatization, word-embeddings, sentiment analysis, and latent Dirichlet allocation (LDA).
- Built deep learning models (e.g., gated recurrent neural network) on Python using Keras and TensorFlow.

### Teaching Assistant @ Queen's University
Jan 2018 – Jan 2018 | Kingston, Ontario, Canada
- Mentored 15 students in a 3rd-year Algorithms course (CMPE 365).

### Software Developer @ Environment and Climate Change Canada
Jan 2017 – Jan 2017 | Burlington, Ontario, Canada
- Built an internal tool to optimize the process of monitoring client companies using C# and .NET.
- Learned proprietary frameworks and developed solutions around its constraints.
- Used JIRA for issue tracking and Confluence to collaborate with the team to complete tasks.

### Software Developer @ BlackBerry
Jan 2017 – Jan 2017 | Waterloo, Ontario, Canada
- Used QML to develop user interface demos for Ford’s infotainment platform.
- Developed an Android client to communicate with the infotainment platform to trigger certain events in a vehicle.
- Participated in weekly scrum meetings.


## Education
### Master of Science - M.Sc. (research/thesis-based) in Computer Science/Computing
Queen's University
Jan 2018 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/danlee746
- Website: https://inpyowebdesign.herokuapp.com/
- Website: https://dansroom.herokuapp.com/
- Website: https://sail.cs.queensu.ca/

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Source: https://flows.cv/danlee
JSON Resume: https://flows.cv/danlee/resume.json
Last updated: 2026-03-22