Joel Bartlett Email & Phone Number

New York, NY, US

San Francisco, California, US

San Francisco, California, US

For an internal hackathon, I developed and pitched an Advanced Retrieval-Augmented-Generation (RAG) service using unsupervised learning algorithms.The idea was allocated engineering resources, and I then developed, productionized, and internally marketed the project. After conducting user-facing A/B Experiments, it is now rolled out and acts as a smart.

San Francisco, California, US

I was on Slack's Build Team - an Internal Tooling team responsible for CI/CD systems company wide. Along with maintaining and monitoring Jenkins and Github Enterprise at Slack, I migrated multiple Jenkins Instances from EC2 based controllers (provisioned via Chef and Terraform) to Pod based controllers (using Docker, Kubernetes). This work to modernize.

San Francisco, California, US

Seattle, WA, US

After graduating college, I was blessed with a little time off to pursue a lifelong dream and work as a barista! I not only sharpened my customer service abilities and communication skills, but I also mastered the extensive Starbucks menu and drink recipes.Moreover, I gratefully received shout outs from customers who messaged the district manager, saying.

Atlanta, GA, US

As a paid, undergraduate researcher at the Healthcare Innovations and Translational Informatics (HITI) lab, I developed a Deep Learning model using Stacked, Bidirectional LSTMs to predict if a patient is at risk of hospitalization within a 30 day forecast.

San Francisco, California, US

During my Summer Internship I created a Slack Bot app to identify previous Incidents similar to the current Incident. For this project, I applied Cosine Similarity functional to Document Embeddings of Slack “Channels” to perform semantic search. Moreover, I participated in weekly ML Paper Reading Group discussions within the team, and even progressed in my.

San Jose, California, US

After purchasing the components, I assembled a ML server with GeForce GTX 1080 GPU and set up the Ubuntu environment with all necessary drivers to train Deep Learning models. Using low-level Tensorflow APIs, I then created a DC GAN and later a Boundary Equilibrium GAN (BEGAN) based on published research. The objective was to generate synthetic facial image.

Atlanta, Georgia, US

As an undergraduate researcher, I collected experimental data of the human gait cycle to improve intent recognition classifiers of our lower-limb, active prosthetic device. In addition, I used Autodesk to calculate the Moment of Inertia Tensors of our active prosthesis and a passive market prosthesis to generate realistic simulations of the devices..

San Jose, CA, US

As FRC Captain, I led the mechanical design of our world champion robot and taught newer members Solidworks and design principles. I also led fabrication and assembly of our robot and was a key member in our Pit Crew during tournaments.

San Jose, CA, US

Bachelor Of Science - Bs, Computer Science

Education record