Joel Bartlett

Joel Bartlett Email and Phone Number

Senior Software Engineer, Machine Learning @ Slack
New York, NY, US
Joel Bartlett's Location
New York, New York, United States, United States
Joel Bartlett's Contact Details

Joel Bartlett personal email

n/a
About Joel Bartlett

I am a focused and creative engineer with an aptitude for out-of-the-box solutions. My work ethic is based on two principles: iterating-to-fail and overcommunication. I believe strong and thorough preparation is necessary for an efficient engineering process, but I also have learned through experience that rapid prototyping is the fastest way to find what works and how to make it better. "Iterating-to-fail" is a unique perspective I learned from former mentors that celebrates iterative and incremental progress and avoids disheartened attitudes around "failure."Moreover, I have seen the benefits of erring on the side of overcommunication in work-related settings. Especially when seeking help or guidance, a thorough examination of the problem, alongside attempted solutions, leads to effective collaboration and cohesive direction.

Joel Bartlett's Current Company Details
Slack

Slack

View
Senior Software Engineer, Machine Learning
New York, NY, US
Website:
slack.com
Employees:
2947
Joel Bartlett Work Experience Details
  • Slack
    Senior Software Engineer, Machine Learning
    Slack
    New York, Ny, Us
  • Slack
    Machine Learning Modeling, Software Engineer Ii
    Slack Aug 2023 - Present
    San Francisco, California, Us
  • Slack
    Machine Learning Modeling, Software Engineer I
    Slack Aug 2022 - Jul 2023
    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 pre-processing layer for all LLM Summarization Requests at Slack AI.
  • Slack
    Devops, Software Engineer I
    Slack Feb 2022 - Aug 2022
    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 Slack's Jenkins controllers provided significant business-level benefits, including:1. Resolving security vulnerabilities automatically by recycling controllers with the latest stable releases.2. Reducing cycle times on controller hosts from literally 2-3 weeks to 2-3 minutes (this saving substantial costs in engineering hours)3. Replacing outdated processes for upgrading host dependencies and packages with efficient, robust methods - that not only save many engineering hours now but also prevent the multitude of incidents and SLA outages we saw before.
  • Slack
    Associate Software Engineer
    Slack Aug 2021 - Jan 2022
    San Francisco, California, Us
  • Starbucks
    Barista
    Starbucks Jun 2021 - Jul 2021
    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: "[Joel] was so kind and friendly while waiting for their drive thru order. His kindness is definitely something we need more of in this world. From now on they're only coming to this Starbucks for Joel."
  • Emory University
    Machine Learning Researcher
    Emory University Aug 2019 - Dec 2020
    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.
  • Slack
    Software Intern
    Slack May 2020 - Aug 2020
    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 specialized understanding of Machine Learning applications in Natural Language Processing to lead the final Reading Group session of the Summer. I presented a paper on “Unintended Memorization” of sensitive personal information in training models on large corpuses of text data. However, rather than walking through the paper alone, I went even further and used personal time to develop an implementation of the models and algorithms described in the paper.
  • Zone24X7
    Software Intern
    Zone24X7 May 2019 - Aug 2019
    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 data for other teams to train a self-checkout kiosk classifier. I monitored training with Tensorboard to debug issues and tune hyperparameters.
  • Georgia Institute Of Technology
    Robotic Prosthetics Student Researcher For Epic Lab
    Georgia Institute Of Technology Dec 2018 - May 2019
    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. Furthermore, I spent extra time after completing assigned tasks learning the basics of hyper parameter tuning and feature extraction from graduate students.http://www.vip.gatech.edu/teams/robotic-human-augmentation
  • Bellarmine College Preparatory
    Frc Captain - Team 254
    Bellarmine College Preparatory May 2016 - May 2018
    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.
  • Bellarmine College Preparatory
    President - Career And Professional Development Society
    Bellarmine College Preparatory May 2016 - May 2018
    San Jose, Ca, Us

Joel Bartlett Skills

Frc Robotics Java Public Speaking Mechanical Engineering Computer Science Solidworks Vex Robotics Javascript Node.js Leadership Html Ip Networking Android Development

Joel Bartlett Education Details

  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Computer Science
  • Bellarmine College Preparatory
    Bellarmine College Preparatory

Frequently Asked Questions about Joel Bartlett

What company does Joel Bartlett work for?

Joel Bartlett works for Slack

What is Joel Bartlett's role at the current company?

Joel Bartlett's current role is Senior Software Engineer, Machine Learning.

What is Joel Bartlett's email address?

Joel Bartlett's email address is jo****@****ory.edu

What schools did Joel Bartlett attend?

Joel Bartlett attended Georgia Institute Of Technology, Bellarmine College Preparatory.

What skills is Joel Bartlett known for?

Joel Bartlett has skills like Frc Robotics, Java, Public Speaking, Mechanical Engineering, Computer Science, Solidworks, Vex Robotics, Javascript, Node.js, Leadership, Html, Ip Networking.

Who are Joel Bartlett's colleagues?

Joel Bartlett's colleagues are Camille M., Ann-Marie Landy, Frank Hesson, Shreya Shetty, Wanqing Song, Ramy Abdelfattah, Niamh Smyth.

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