Christopher R. Email & Phone Number

San Jose, CA, US

San Francisco, California, US

I built responsive pages for users to engage with financial products as a full-stack developer. I used TypeScript, React.js, and Next.js to build pages for the frontend and Node.js, hapi.js, and PostgreSQL in the backend. I also have experience with the following:- Modernizing data-fetching using GraphQL.- Broadening app observability with DataDog..

San Francisco, California, US

San Francisco, California, US

I migrated our app's data-fetching to take advantage of GraphQL through Apollo in order to simplify and harmonize data-fetching overall. While working on this project over the summer, I was also able to learn about and utilize foundational frontend technologies like React.js and Typescript which I used to rewrite, update, and make new components on our.

LA Jolla, CA, US

I developed neural networks that accurately replicate biological data in order to assist microbiome researchers in benchmarking and training classification algorithms. To do this, I'm using TensorFlow in python to create a QIIME2 plugin supported by a convolutional neural network that classifies microorganisms' biological data by species.

Foster City, California, US

I helped diagnose strains in server provisioning by consolidating all server events from Visa APIs and making the events easily usable and viewable through an internal SpringBoot web app. I used Kafka to produce event messages from Visa services and then consumed them in the web app to be stored in a MySQL database using Spring JDBC. I helped the Visa.

Northbrook, Illinois, US

I assured customer device compliance with the FCC by measuring SAR radiation from consumer devices with a robotic arm which has a frequency pickup attachment.I accelerated the measuring process by configuring bash scripts which programmed test devices to emit a requested frequency on multiple device antennas.

Piscataway, NJ, US

I designed and created a coffee brewer activated by a phone’s proximity to it for an ’Internet of Things’ competition. It used an Arduino for logic, an ESP Wifi module and the Blynk API to connect the brewer to the internet, and a relay module to redirect the brewer control to the Arduino. Our project won third place overall and an award for being the most.