Technical deep-dives, hackathon stories, and career playbooks from PDEU ACM Student Chapter members.
Step-by-step guide to building a production-grade Retrieval-Augmented Generation pipeline — embedding documents, storing vectors in pgvector, and streaming answers via a Next.js API.
How PDEU ACM Student Chapter workshops, competitive coding sessions, and mock interviews helped me crack Google's interview process. The exact roadmap I followed — with resources and timeline.
Attention mechanisms, positional encodings, and multi-head attention explained with working NumPy code. No black boxes. Written after the ACM ML Workshop Series Session 4.
Using Supabase Realtime channels and Next.js Server Components to build a live analytics dashboard without a single polling call. The PDEU ACM Student Chapter website architecture explained.
The exact process the PDEU ACM Student Chapter Open Source SIG uses to get beginners their first merged PR — finding good first issues, writing proposals, and handling review feedback.
Using ydata-profiling, Sweetviz, and custom Pandas pipelines to automate exploratory data analysis. Built during the ACM Data Science SIG weekend workshop.