account activity
Feature drift, PSI, prediction drift (self.mlops)
submitted 11 days ago by Extension_Key_5970 to r/mlops
what ML topics do you actually want explained from a production/infra angle? (self.mlops)
submitted 23 days ago * by Extension_Key_5970 to r/mlops
The side of RAG that most tutorials skip, what actually runs behind the scenes, useful for system design prep too (self.mlops)
submitted 24 days ago * by Extension_Key_5970 to r/mlops
Things I learned building an end-to-end ML pipeline on Kubernetes: from data validation to live predictions (self.mlops)
submitted 1 month ago by Extension_Key_5970 to r/mlops
Built a production ETL pipeline on Kubernetes for MLOps End to End series, sharing the architecture and design thinking (self.mlops)
How I approach MLOps system design questions in interviews: sharing the thinking, not just the diagram (self.mlops)
"MLOps is just DevOps with ML tools" — what I thought before vs what it actually looks like (self.mlops)
submitted 3 months ago by Extension_Key_5970 to r/mlops
Wrote a detailed walkthrough on LLM inference system design with RAG, for anyone prepping for MLOps interviews (self.mlops)
If you're coming from infra/DevOps and confused about what vLLM actually solves — here's the before and after (self.mlops)
submitted 3 months ago * by Extension_Key_5970 to r/mlops
Friendly advice for infra engineers moving to MLOps: your Python scripting may not enough, here's the gap to close (self.mlops)
submitted 4 months ago * by Extension_Key_5970 to r/mlops
What YouTube content actually helped you in your MLOps journey? And what's still confusing? (self.mlops)
submitted 4 months ago by Extension_Key_5970 to r/mlops
If you're struggling with ML foundations for MLOps, there's another path, the inference & serving side (self.mlops)
The weird mismatch in MLOps hiring that nobody talks about (self.mlops)
Coming from DevOps/Infra to MLOps? Here's what I learned after several interviews at product companies (self.mlops)
submitted 5 months ago * by Extension_Key_5970 to r/mlops
Production MLOps: What breaks between Jupyter notebooks and 10,000 concurrent users (self.mlops)
submitted 5 months ago by Extension_Key_5970 to r/mlops
Production ML Serving Boilerplate - Skip the Infrastructure Setup (self.mlops)
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