me Jack Daniel Reilly


Data scientist, data engineer, researcher, entrepreneur with a passion for mapping, geographical data, and machine learning at scale.


pdfhomeacademiclinkedinsojackdreilly@gmail.com • +1-916-768-1755

Education

2009-2014
PhD, Civil Systems Engineering; UC Berkeley
2005-2009
BSc, Civil Engineering; UCLA

Experience

Google Maps Machine Learning

Senior Software Engineer Tech Lead - 2014-2018 - Google - Mountain View, CA, USA

Taste Social

Cofounder and CTO - 2019-2020 - Paris, France

Bluecanvas

Source control SaaS consultant - 2019

Google Maps Traffic Estimation

Software Engineering Intern - 2013 - Zurich, Switzerland

PhD in Traffic Modeling and Optimization

At UC Berkeley, I developed model-based optimization and machine-learning methods for large-scale freeway networks. Based on distributed optimization ADMM techniques and discretized PDE networks, I developed a novel, decentralized model-based online controller for freeways, which enables the optimization of arbitrary objective functions. This allows city planners to devise complex goals for freeways which balance fairness and efficiency, or allow them to whimsically draw the CAL logo with car congestion.

Skills

by proficiency, over 11 total years, 6 years professional

Python • ML/Deep Learning • Java • Optimization • Mapping • Computer Vision • Big Data/Spark • C++ • Dart/Flutter • Git • Bash • Linux/OS-X • Java-/Typescript • Firebase/Firestore • Serverless • Protobufs • SQL • GCP • Docker • Tensorflow • Routing/Networks • Pandas • sklearn • Golang • Unit Testing • CI/CD • Prometheus • Kubernetes • AWS • GraphQL • Postgres/PostGIS • Reactive UI (React/Flutter) • Latex

Personal Interests

Traveled the world and volunteered for a yearGuitarist, PianistAcro YogaRunnerJazz/Funk • Biking • Tennis • NBA • Swing Dancing


jackdreilly@gmail.com • +1 916 768 1755 Paris, France