Brian On Email & Phone Number

New York, NY, US

New York, New York, US

New York, New York, US

New York, New York, US

• Calculation Engine team: scaling Addepar's distributed calculation service that performs real-time analyses on portfolio data.
• Technologies: Java, Python, Kubernetes

Sunnyvale, California, US

• Developed greenfield, serverless microservices for business systems using Python + Django, Docker, React, and AWS services (API Gateway, CloudFormation, Fargate, Lambda, etc.)
• Created CI/CD processes and pipelines in Concourse to deploy these services to integration and production

Santa Clara, CA, US

• Designed and implemented data sampling algorithm for efficient web visualization of millions of data points
• Developed custom, canvas-based charting library for web pages
• Data analytics & UI development: JavaScript, TypeScript, C#

Princeton, NJ, US

• Leveraged a recently compiled, expansive dataset of protein-DNA interactions to train random forest models able to predict binding specificity of C2H2 zinc finger proteins
• Assessed accuracy of these models using a set of naturally occurring proteins with experimentally determined binding specificities
• Models were found to be competitive with previously published state-of-the-art prediction methods.
• Raw data encoding, model generation, statistical and graphical analyses were performed using Python and R.

Fremont, California, US

• Implemented RESTful GUI that allows interaction of user with data stored on Enphase products with partner
• Developed GUI using JavaScript and various libraries (e.g. Backbone.js, Underscore.js, and jQuery) within a Ruby on Rails environment for application simulation, complete with Jasmine gem unit testing
• Source code included in Enphase manufacturing build & GUI usage integrated into company hardware PV workflow

Princeton, NJ, US

• Investigated the efficacy of convolutional neural networks in predicting the secondary structure of RNA strands based on their nucleotide sequences
• Implemented, optimized, and trained convolutional neural networks using Python, Bayesian optimization
• Visually analyzed performance relative to existing prediction methods using R, ggplot2

Columbia, MO, US

• Part of 3-man team that designed and programmed a hybrid mobile application that delivers health information to patients in the form of graphs and charts
• Programmed back end to access MySQL database containing patient data in PHP
• Implemented front end using Google Charts, jQuery Mobile, JavaScript, and HTML
• Tested usability of two differently multi-layered versions of application with elderly patients at Tigerplace Assisted Living

Oakland, California, US

• Designed oncology packets containing resources and information for cancer patients
• Shadowed doctors in neurology, gastroenterology, oncology, and other departments
• Witnessed procedures such as lumbar punctures, thoracenteses, and endoscopies

Bachelor Of Arts (Ab), Computer Science

Education record