# Timothy W.

> Software Engineer at Google

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

Software Engineer working on distributed, realtime systems.

Graduated Summa Cum Laude with a B.Sc. in Computer Science, University of Maryland c/o 2020.

## Work Experience
### Senior Software Engineer @ Google
Jan 2023 – Present | San Francisco Bay Area
GCP BigQuery Dataform (TL)  & GCP BigQuery AI Agents
- Context Engineering, Planning, Evals, and A/B Testing
- Building Developer primitives and virtual cloud filesystems 

Former: 
Founding Engineer on BigQuery Engine for Apache Flink
Google Cloud Dataflow Streaming 

C++, Java, Golang

### Software Engineer @ Databricks
Jan 2022 – Jan 2023 | San Francisco Bay Area
Delta Live Tables

Apache Spark, Scala

### Software Engineer II @ Lyft
Jan 2021 – Jan 2022 | San Francisco Bay Area
Building Lyft's Realtime AI Orchestration Platform

### Software Engineer @ Lyft
Jan 2020 – Jan 2021 | San Francisco Bay Area
Realtime streaming & distributed systems within the Marketplace org

Python, Apache Beam, Apache Flink, Flyte

### Software Engineer @ Lyft
Jan 2019 – Jan 2019 | San Francisco, CA, United States
• Built parallelized massive compute jobs to calculate more accurate driver ETA estimates
• Implemented machine learning accuracy verification system to support the Adaptive Pricing team
• Created and shared learning modules about Pandas to the entire Pricing tech organization

Python, Flyte

### Software Engineer @ Bloomberg LP
Jan 2019 – Jan 2019 | Greater New York City Area
• Built end to end, online-learnable, anamoly detection machine learning models from scratch that scale to every financial security that flows through Bloomberg's systems

Python, Spark, Kafka

### Undergraduate Teaching Assistant for CMSC 351 (Algorithms) @ University of Maryland
Jan 2018 – Jan 2019 | College Park, MD
• TA under Professor Evan Golub (Spring 2018), Professor Clyde Kruskal (Fall 2018)

### Software Engineer @ Applied Predictive Technologies
Jan 2018 – Jan 2018 | Washington D.C. Metro Area
• Interned for Applied Predictive Technologies, later acquired by MasterCard
• Statistical modeling

C#, SQL, JavaScript

### Machine Learning Engineer @ Sift
Jan 2017 – Jan 2017 | San Francisco Bay Area
• Built Naive Bayes text classification AI models scalable to billions of online transactions and improved feature engineering

Java, MapReduce, Apache Spark, Apache Crunch

### Undergraduate Teaching Assistant for CMSC 132 (OOP & Data Structures) @ University of Maryland College Park
Jan 2017 – Jan 2017 | College Park, MD
• TA under Professor Tom Reinhardt where I led 2 recitations per week and multiple weekly office hours to reinforce concepts and introduce new material

### Business Analyst @ Consult Your Community
Jan 2016 – Jan 2017 | College Park, MD
• Provided pro-bono consulting services to local small businesses

### Algorithms Research Intern @ University of Maryland College Park
Jan 2016 – Jan 2016 | College Park, Maryland
• Researched efficient semi-prime factorization algorithms under Professor Bill Gasarch


## Education
### Bachelor of Science (B.S.) in Computer Science
University of Maryland
Jan 2016 – Jan 2020

### Study Abroad in Spanish Language and Literature, Business Management
Universitat Politècnica de València (UPV)
Jan 2019 – Jan 2019

### High School Diploma in International Baccalaureate Diploma
Richard Montgomery High School
Jan 2012 – Jan 2016

### International Baccalaureate


## Contact & Social
- LinkedIn: https://linkedin.com/in/timothyxwang

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Source: https://flows.cv/timothyw
JSON Resume: https://flows.cv/timothyw/resume.json
Last updated: 2026-03-23