Tommy Truong Email & Phone Number

San Diego, Ca, Us

San Mateo, California, Us

San Mateo, California, Us

Working on the commerce platform!

San Mateo, California, Us

San Mateo, California, Us

After accepting a 12-week internship extension, I have 2 new projects.I'm working on achieving 100% functional parity with Catalog Service's C++ predecessor.Also, now I'm working on adding or removing endpoints from our API.Technologies: Raml, SQL, Streams, RxJava

San Mateo, California, Us

I joined the Catalog Service team, one of the new Commerce Platform Java AWS micro-services for the PlayStation Network that services more than 30 million users.For my internship project, I worked on implementing ETag support client-side and server-side to version Catalog's resources. I optimized Catalog's client-side Caffeine cache performance, and reduced server-side bandwidth by 55%.I wrote JUnit unit tests, Cucumber integration tests and JMeter performance tests to ensure high code coverage, correct behavior and measure load test results. Furthermore, I gathered more load testing measurements by querying Splunk to analyze network logs.I checked in my work through Jenkins to continually develop, integrate, test and deploy my changes to our development environment.I reported to daily scrums and actively learned about the Scaled Agile Framework by participating in PSI planning meetings.Technologies: Java 8, Tomcat, Spring, Intellij, RxJava, Streams, Oracle SQL Developer, Maven, Postman,

San Diego, California, Us

I developed a small interactive web app to visualize paid, earned and owned media budgets across the customer journey stages. I used AWS Lambda and S3 for backend, and Vue.js and D3.js for the user interface. I wrangled the raw data with Python and Pandas before storing it in S3. I worked closely with a senior graphic designer and marketer to implement the user interface and back-end logic, respectively.Using Python and Jupyter notebooks, I analyzed and visualized basic statistical properties of a golf client’s consumer survey dataset to make inferences on wedge purchasing and fitting behaviors based on age and skill level. I researched and applied best practices for data science project structures to improve clarity in deliverables and workflow.I led workshops on supervised learning to over 40 Red Door colleagues and Red Door's first hackathon using Amazon's Machine Learning platform.Although unfinished, I was working on a creating a pipeline for server log collection using Logstash for monitoring and operations optimization. I was using Docker, Amazon ECS and S3.

San Diego, California, Us

I wrote a program that requests RESTful APIs to create datasets in Domo, a cloud business intelligence platform, using Domo's Connector API. To connect 3 RESTful APIs for SEO data, I focused on developing a package with abstract classes to reduce redundancy. I diagramed and revised my design with UML, as well as learned how to make authenticated requests using OAuth 2.0.I visualized mixed media spend across the customer journey stages with D3.js. I led white-boarding during preliminary analysis and planning meetings with designers and marketers to draft system requirements for an interactive mixed media budgeting tool into Jama.I wrote small MySQL scripts to perform ETL on datasets within Domo to rectify faulty analytical dashboards in Domo.

La Jolla, Ca, Us

I oversaw all local and remote laboratory backups from 3 servers totaling over 10 TB of data with Bash scripts using rsync. I contributed to the development of a Django CMS website to host distributions and content for cardiac modeling software Continuity, and provided IT support for issues in network connectivity and software and CLI troubleshooting. With a postdoctoral researcher and a teammate, I developed LSTM neural network in TensorFlow to classify the cardiac dyssynchrony index range a vectorcardiogram falls within. In theory, a low range could signify future cardiac arrhythmia. Thus, this classifier could justify providing patients with preventative care sooner.With a postdoctoral researcher and a teammate, I developed a Python script to develop a Python script to distributively render and animate the electrical activation of a patient-specific cardiac model using Blender API. This was the first time the rendering of a patient-specific model was ever done (at the time!). I learned how to submit Unix jobs onto San Diego Super Computers GPU clusters to distribute the rendering workloads.

La Jolla, California, Us

As my first job, I focused on strengthening my communication and management skills by directing the ticketbooth and providing consistent customer service to aquarium visitors.

Bachelor Of Science (B.S.), Computer Engineering

Associate Of Arts (A.A.), Physics Studies, Mathematical Studies

High School Diploma