About us
Learn, network, have fun, and thrive with AI!
Schedule a live session with Yan for career coaching and business consulting: schedule
For per case inquiry, contact *houstonmachinelearning.ai@gmail.com*
All recordings published on YanAITalk channel.
Upcoming events
2
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
·OnlineOnlineJoin us to explore SkillOpt, a framework that treats an agent’s skill as a trainable state rather than static prompt text. We’ll discuss how agent rollouts can drive bounded, validation-gated edits such as adding, removing, or replacing skill content, to improve reliability while keeping deployment-time inference unchanged. The session will cover the paper’s optimization strategy, safeguards against unproductive revisions, and the practical implications of transferable, self-evolving skills for agentic systems.
Slides for past meetups posted: Github
Recordings posted at: YanAITalk
Feel free to reach out if you want to present at upcoming meetups!Note: You must have a Zoom account to login (free account is sufficient). Zoom Link will be posted to the event page one day before the meetup.
56 attendees
Cracking the ML System Design Interview (6-week paid Cohort)
·OnlineOnlinePlease Register at maven course to participate in the Cohort.
## From business problem to reliable ML solution
Can you design the complete ML system in production?
This 6-week course helps you crack the ML system design interview. You will learn the mental model and reusable framework to design and defend ML systems across the industry problems: recommendation and ranking, forecasting and fraud detection, knowledge-grounded RAG applications, and tool-using agent and harness. Instead of memorizing architecture diagrams, you will practice turning an ambiguous question into a structured system design—with success metrics, data flows, model choices, evaluation plans, reliability safeguards, and explicit trade-offs.By the end, you will have a practical ML system design framework, four reusable case designs, and a 1-1 mock interview coaching that help you communicate like an experienced practitioner who can take a business requirement from idea to reliable production.
## Who this course is for
- Data scientist or SDE preparing for Machine Learning Engineer interview
- SDE moving into ML engineer role
- Technical Product Manager or Engineering Lead responsible for AI products
## What is included:
- 6 live sessions with Yan on Saturdays
- 1-1 mock ML system design interview included
- lifetime access to course materials and recordings on Maven
Houston machine learning members receive 20% off cohort registration with HML2026.
22 attendees
Past events
153
