What we're about

"Learn by Practice". Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over Portland to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data.

If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

Upcoming events (1)

ML Meetup - NLP, LLM/ChatGPT and ML Monitoring


Welcome to our in-person ML monthly meetup in Seattle, in collaboration with JPMorgan Chase. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers&peers developers, and win lucky draw prizes.

[RSVP instructions]

  • Register at the event website. (full name is required for badges and check in. NO walk-ins, NO access without badge)
  • Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA
  • Community on Slack for events chat, speakers office hour and sharing learning, job openings and projects collaboration. join slack


  • 5:00pm~5:30pm: Checkin, Food/drink and networking
  • 5:30pm~5:40pm: Welcome/community update/Sponsor intro
  • 5:40pm~7:30pm: Tech talks
  • 7:30pm~8:00pm: Lucky draw & Mixer

Tech Talk 1: An Introduction to Large Language Models
Speaker: Aviral Joshi, Applied AI/ML Associate @JPMorgan Chase
Abstract: This talk will introduce to the landscape of Large Language Models (LLMs), their inner workings, emergent properties and application within JPMorgan Chase.

Tech Talk 2: ML Training Data Monitoring
Speaker: Shailender Singh, Lead Data Scientist @JPMorgan Chase
Abstract: To accelerate the AI/ML efforts in the firm, TDMP is being developed as a capability for (1) acquisition of data for the purpose of ML, (2) subsequent refinement, transformation and critical quality checks; and (3) automated documentation of lineage, feature selection and data transformation, along with associated meta-data and intelligence for create training datasets for ML models that meet firmwide Model and Analytic Tool standards. This talk will showcase a walkthrough of Training Data Platform.

Tech Talk 3: Federated Data Lake
Speaker: Kai Chang, software engineer @JPMorgan Chase
Abstract: A discussion of the JPMC Advanced Data Ecosystem (JADE) Federated Data Lake, including lessons learned.

Tech Talk 4: TBD

Past events (297)

Tech talk: Kubernetes Cloud Native Runtime Security

This event has passed