https://ashimsharma10.github.io/blog Software engineer sharing projects, notes, and guides on ML infrastructure. en-us sharmaashim00@gmail.com (Ashim Sharma) sharmaashim00@gmail.com (Ashim Sharma) Wed, 10 Jun 2026 00:00:00 GMT https://ashimsharma10.github.io/blog/anyscale-ray-deep-dive https://ashimsharma10.github.io/blog/anyscale-ray-deep-dive A comprehensive technical writeup covering why distributed computing for AI is hard, what Ray is, what Anyscale adds on top of it, how it compares to the alternatives, and how to actually use it. Wed, 10 Jun 2026 00:00:00 GMT sharmaashim00@gmail.com (Ashim Sharma) rayanyscaledistributed-computingdeep-learninginfrastructure https://ashimsharma10.github.io/blog/mlops-tooling-from-experiment-tracking-to-production https://ashimsharma10.github.io/blog/mlops-tooling-from-experiment-tracking-to-production A conceptual guide to MLOps tooling — MLflow, artifact versioning, reproducible pipelines, framework integrations, alternatives, and deploying and improving models in production. Fri, 03 Jul 2026 00:00:00 GMT sharmaashim00@gmail.com (Ashim Sharma) mlopspythondeep-learningpytorchinfrastructureguide https://ashimsharma10.github.io/blog/pytorch-from-first-tensor-to-distributed-training https://ashimsharma10.github.io/blog/pytorch-from-first-tensor-to-distributed-training Deep guide for ML engineers: tensors, autograd, nn.Module, training loops, DDP, FSDP, checkpointing, and debugging at scale. Sun, 07 Jun 2026 00:00:00 GMT sharmaashim00@gmail.com (Ashim Sharma) pytorchdeep-learningdistributed-trainingguide