Jason Liu¶
ML Engineer, Consultant, Advisor
[email protected] | jxnl.co | jxnl | jxnlco
Executive Summary¶
I'm a former Staff MLE who built a 7-figure AI business following a hand injury. I created Instructor (3M+ monthly downloads) and I'm AI-native with experience spanning model training, information retrieval, observability, context engineering, agent development, training, content creation, marketing, and sales. I'm also an angel investor (a16z Scout) and I'm looking for my next 4-5 year project to apply my technical and business expertise.
Professional Experience¶
Founder, 567 Studio¶
2023 - Present | 7-Figure Revenue
AI consulting for Zapier, HubSpot, Limitless, Tensorlake, Trunk Tools, New Computer, Weights & Biases, Modal Labs, Timescale, and others. Built RAG training platform on Maven serving professionals from OpenAI, Anthropic, Google, Microsoft, Amazon, Netflix. Created comprehensive technical documentation and video-based developer education programs. Frequent speaker at AI Engineering Summit and industry podcasts.
- 7-figure combined revenue from consulting and training programs
- Designed workflow automations, fine-tuned embedding models for images/diagrams/videos across industries (consulting, oil & gas, meeting notes, red teaming, agentic observability)
- Taught 1000+ students through live cohort-based courses with office hours and hands-on technical content
- Developed partnerships with Braintrust, ChromaDB, LanceDB, SourceGraph, Cognition, Turbuffer
- Extensive experience with OpenAI and Anthropic APIs through rapid prototyping work
- Reduced client AI deployment time by 60% through systematic frameworks and documentation
Creator, Instructor¶
2024 - Present
Created Instructor Python library (3M+ monthly downloads), recognized and referenced by OpenAI. Comprehensive technical documentation, API design, and developer onboarding experiences.
Angel Investor¶
2020 - Present
Active investor in Exa, BrowserBase, Lovable, Pydantic, Haize Labs, Rork, Smithery, Vantager, Raindrop, Shaped AI, Augmental, Kino.ai.
Staff Machine Learning Engineer, Stitch Fix¶
2018 - 2023
- Architected multimodal embedding similarity system using ResNet-50 transfer learning and CLIP+GPT-3 integration generating $50M+ annual revenue impact
- Designed Flight framework handling 350M+ daily requests with 80% internal adoption rate across engineering teams
- Built styling chatbots using DaVinci chat models, integrating LLMs for stylist workflows and improving recommendation quality by 40%
- Technical lead for team of 6-7 engineers and data scientists
Data Scientist, Facebook (Meta) - Protect & Care¶
2017
- Developed ML algorithms detecting harmful content (violence, hate speech, child endangerment) with 95%+ accuracy at 2B+ user scale
- Built real-time monitoring dashboards identifying malicious activities, reducing escalation time by 50%
- Contributed to platform integrity improvements protecting global user base
Education¶
Bachelor of Mathematics in Computational Mathematics & Statistics
University of Waterloo, Ontario, Canada | 2012-2017
Background: Mathematical physics and computational statistics before transitioning to applied machine learning
Publications & Research¶
Liu, J., Weitzman, E.R., & Chunara, R. (2017). Assessing behavior stage progression from social media data. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 1320–1333.
Rehman, N., Liu, J., & Chunara, R. (2016). Propensity score matching for vaccination sentiment analysis. AAAI Spring Symposium on Observational Studies through Social Media and Other Human-Generated Content, 23–25.