#Python

A comprehensive architectural guide to stateful distributed stream processing: mastering Event Time vs. Processing Time, Watermark heuristics for out-of-order data, RocksDB state backends, the Chandy-Lamport checkpoint barrier algorithm, and end-to-end Exactly-Once processing with 2PC sinks in Apache Flink and Kafka Streams.

A comprehensive architectural deep dive into database storage engines: dissecting B+Tree in-place page splits vs. LSM-Tree append-only SSTables, MemTable skip-lists, Bloom filters, write/read amplification trade-offs, and building a mini LSM engine in Python.

A deep architectural breakdown of Approximate Nearest Neighbor (ANN) search algorithms: Hierarchical Navigable Small World (HNSW) vs. Inverted File with Product Quantization (IVF-PQ), memory overhead, recall-vs-latency tradeoffs, scalar quantization, filtered vector search, and tuning pgvector & Qdrant.