predibase > predibase Employee Directory > Noah Yoshida
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Noah Yoshida
Staff Software Engineer
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Location: Greater Tokyo AreaApprox. Years of Experience: 5
Noah Yoshida's Current Workplace
Predibase
Company Size
11-50
Amount Raised
$16.3M
Predibase is the fastest, most efficient way to productionize open-source LLMs.\n\nAs the developer platform for LoRA training and serving, Predibase makes it easy for engineering teams to fine-tune and serve any open-source LLM on state-of-the-art infrastructure in the cloud at the lowest possible cost. \n\nBuilt by the team that created the internal AI platforms at Apple and Uber, Predibase is fast, efficient, and scalable for any size job. Predibase pairs an easy to use declarative interface with high-end GPU capacity on serverless managed infra for training and serving, providing engineers with a solution for the complete ML lifecycle. Most importantly, Predibase is built on open-source foundations, including Ludwig and LoRAX, and can be deployed in your private cloud so all of your data and models stay in your control. \n\nIn production with both Fortune 500 and high growth companies, Predibase is helping engineering teams deliver AI driven value back to their organization in days, not months.\n\nTry Predibase for free: https://predibase.com/free-trial.
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Notable Investors
Greylock, Factory, Varun Badhwar, Anthony Goldbloom, Zoubin Gharamani
Software
Machine Learning
Artificial Intelligence
Experience
Predibase
Sep 2021 - Present
Staff Software Engineer
Feb 2024 - Present
1 yr 3 mos
- Briefly led the 4 person serving/infra team for one quarter before folding it into the new platform team - Working on all things backend, infra, observability related - Helping build our new inference engine :) Skills: Istio · Vllm · MLOps · Python (Programming Language) · Kubernetes · Go (Programming Language)
Senior Software Engineer
Oct 2022 - Feb 2024
1 yr 5 mos
- Helped design and built a lot of the core systems at Predibase around both the platform and specifically model serving Spoke at KubeCon NA 2023 :) Skills: MLOps · Cloud Infrastructure · Kubernetes · Go (Programming Language) · Python (Programming Language) · Istio Building a Multi-Cluster Privately Hosted LLM Serving Platform on Ku... Julian Bright & Noah Yoshida Low-code ML platform Predibase raises another $12.2M
Software Engineer - Platform
Sep 2021 - Oct 2022
1 yr 2 mos
- Doing a little of: ML Ops, kubernetes platform engineering, high performance deep learning, dev tooling, observability, security & compliance Skills: MLOps · GitOps · Helm (Software) · Ray · Kubernetes · Go (Programming Language) Predibase exits stealth with a low-code platform for building AI models
Amazon Web Services (AWS)
Aug 2020 - Sep 2021
Software Engineer (SDE 2)
Jun 2021 - Sep 2021
4 mos
- Built several cloud native CDK pipelines for Redshift Serverless deployment and testing - Helped migrate legacy redshift capabilities to Redshift Serverless - Used the following: Java, Spring, AWS Lambda, AWS CDK, AWS Cloudformation, Typescript Introducing Amazon Redshift Serverless – Run Analytics At Any Scale Without Having to Manage Data Warehouse Infrastructure | Amazon Web Services
Software Engineer (SDE 1)
Aug 2020 - Jun 2021
11 mos
- SDE 1 on AWS Redshift, control plane team - Worked on large scale distributed systems - Led AQUA integration effort with Redshift control plane, built and deployed AQUA integration within aggressive deadline - Helped design, build, and deploy cross vpc connections via private link on Redshift clusters - Built and maintained multiple infrastructure pipelines using CDK and Cloudformation Announcing cross-VPC support for Amazon Redshift powered by AWS PrivateLink AQUA (Advanced Query Accelerator) for Amazon Redshift - Amazon Web Services
Research Assistant
Computer Vision Research Lab (CVRL) · Part-time
Aug 2019 - May 2020
10 mos
- Worked on scene text recognition and OCR that differentiates overlayed text from text in the background image using PyTorch and TensorFlow in order to extract semantic understanding from memes - Created custom models for NLP and NLU tasks in Bahasa - Utilized AWS Rekognition API and MongoDB to resolve faces in the memes to add additional labels to images 2001.06122.pdf
University of Notre Dame
Aug 2018 - Mar 2020
Student Recruitment Coordinator
Mar 2017 - Mar 2020
3 yrs 1 mo
- Assisted in coordinating the Reilly-Spring Visit Visitation Program, a program which recruits high-achieving students to the University of Notre Dame - Coordinated various activities for the prospective students, involving different departments on campus - Matched the prospective students with on campus hosts - Guided the students through various activities during the weekend and serves as a point of contact before, during, and after the weekend
Teaching Assistant
Aug 2018 - Dec 2018
5 mos
- Teaching Assistant for Programming Challenges (CSE 30872) - Helped students understand how to apply different data structures and algorithms to solve complicated, interview type problems
Software Development Engineer Intern
Amazon · Internship
May 2019 - Aug 2019
4 mos
- Worked in the eCommerce division to support the tax configuration service - Contributed to low-level design and implementation of a new service, which is replacing the team's legacy service next quarter with several other team members - Had over 29,000 diffs across 150 commits in two packages - Primarily worked in Java (Spring) using JUnit and Mockito to ensure branch and code coverage
Software Engineering Intern
Kyndi · Internship
Jan 2019 - May 2019
5 mos
- Implemented and measured the efficacy of a new natural language processing pipeline in Python, which laid the foundation for the replacement of the legacy pipeline after the end of my internship - Wrote a middlewear GraphQL server to interact with an external graph database using Apollo and Typescript - Implemented a publisher in Java to hook into existing processes and publish a graph to the database
Software Engineering Intern
Redbubble · Internship
May 2018 - Aug 2018
4 mos
- Assumed the responsibilities of a full time engineer which included piloting new projects, fixing bugs, migrating old code, leading meetings, and fixing production outages - Learned React to implement new components in the UI as part of a project - Learned Ruby on Rails to contribute to the core monolith and several microservices - Worked in Scala to help migrate legacy code from the monolith to a new microservice - Tested new features and improved platform stability with RSpec, Cucumber, and Jest - Learned the deployment process for containerized apps in Kubernetes to the Google Cloud Engine - Learned the agile XP development methodology and used it to lead the development process
Research Assistant - NLP
Natural Language Processing Group
Jan 2018 - May 2018
5 mos
- Worked with a graduate student in the NLP group analyzing the tone and syntax of St. Augustine's sermons, in Latin - Created tools using Python 3 and the NLTK and CLTK libraries - Used CRFSuite to implement custom models for analyzing data
Management Consulting Intern
Oracle Japan 日本オラクル · Internship
Jun 2017 - Jul 2017
2 mos
- Analyzed the implementation of corporate strategy within Oracle Japan as a group, specifically the middleware and hardware business (IaaS, PaaS) - Met with C suite executives to determine possible issues, interviewed employees in both Japanese and English and managers to gather data - Leveraged cultural knowledge of Japan to bridge the gap between the executive team and the operational staff - Presented findings and recommendations to the executive team as a group
Sales Associate
Weaver's Department Store
Jul 2014 - Jul 2016
2 yrs 1 mo
- Sold men's wear, shoes, and frangrances - Organized tuxedo rentals between clients and the tuxedo provider - Measured and prepared suits for alterations
Education
  • 2016 - Jun 2020
    University of Notre DameBachelor of Science - BS, Computer Science