Curated collections of courses, books, papers, repos, and tools across engineering and ML domains — distilled from my MindStack hub and served right here. Twelve domains, each its own reference page.
Deep learning, neural networks, ML frameworks — books, papers, repos, courses, and blogs.
devopsCI/CD, automation, and infrastructure — DORA research, roadmaps, and the canonical books.
sreReliability, monitoring, incident response — the free Google SRE books and the defining blogs.
platform engInternal developer platforms, golden paths, Backstage, and the IDP playbook.
cloudAWS, Azure, and GCP — patterns, certifications, and well-architected references.
system designArchitecture patterns, scalability, interview prep — DDIA, the Primer, the Google/Amazon papers.
securityDevSecOps and cybersecurity — OWASP/NIST frameworks, canonical books, and current blogs.
data engPipelines, ETL, and big-data tooling — Spark, Airflow, and the foundational papers.
grad studiesMTech/Master's/PhD — textbooks, top conferences, courses, research tools, labs, thesis help.
databasesRelational, NoSQL, design and optimization — DDIA, distributed-DB papers, tuning guides.
troubleshootingSystem debugging, diagnostic tools, and methodologies — strace/tcpdump/perf/gdb and the playbooks.
performanceOptimization, profiling, and benchmarking — FlameGraphs, perf, and load-test frameworks.