Office hours with an AI Engineer because Why Not~

Office Hours with an AI Engineer 👩‍💻🤖
Curious how real-world AI systems are built? Wondering how to break into machine learning, LLMs, or MLOps? Bring your questions, projects, and career puzzles to this open, informal office hours session with an AI Engineer.
This meetup is designed to be interactive, not a lecture. Think of it as a mix between mentorship, technical deep-dives, and an AMA.

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### What we’ll do

During these office hours, we can:
Review your projects
Model architectures, training pipelines, prompts, agents, RAG systems, and more
Quick code walkthroughs and high-level design feedback
Talk about careers in AI/ML
How to transition into AI engineering from software or data roles
Portfolio and resume tips for ML/AI positions
Interview prep (ML system design, coding, research-oriented roles)
Discuss real-world AI systems
How companies deploy models into production
Monitoring, evaluation, and iteration for ML and LLM systems
Trade-offs between open-source vs. closed models, tools, and infrastructure
Brainstorm ideas
Startup and product ideas using AI
How to scope an MVP with LLMs or classical ML
Choosing the right stack and tools for your next project

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### Who this is for

Software engineers curious about breaking into AI/ML
Data scientists or analysts wanting to move closer to ML engineering
Founders and builders exploring AI-powered products
Students or career switchers looking for realistic guidance—not just buzzwords
All experience levels are welcome. You don’t need to be an expert—just bring curiosity.

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### What to bring

Your questions (technical, career, or product-related)
Optional: a laptop with code or a project you’d like feedback on
Optional: a short description of what you’re working on or stuck with

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### Format

Short intro (10–15 min)
Quick background from the AI Engineer and an overview of topics we can cover
Open office hours (60–75 min)
Group Q&A, live walkthroughs, and discussions. We’ll prioritize questions that benefit the group.
Wrap-up (10–15 min)
Resources, next steps, and optional networking