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The complete DSA interview checklist — 75 essential problems organized by pattern, study schedules for 4, 8, and 12 weeks, a pattern recognition framework, and what interviewers actually look for.
Master the top 20 graph interview patterns with a BFS vs DFS decision flowchart, Union-Find strategies, grid vs adjacency list trade-offs, and template code.
Master the top 15 linked list interview patterns — dummy node, fast-slow pointers, reversal, merge, partition, and more. Includes common mistakes, a time complexity cheatsheet, and a decision flowchart.
A complete guide to string interview patterns — top 20 patterns, two-pointer on strings, frequency map technique, sliding window template, when to use Trie vs HashMap, common mistakes, and a complexity cheatsheet.
The complete guide to binary tree interview patterns — top 20 patterns, DFS vs BFS decision guide, recursive vs iterative approaches, common mistakes, complexity cheatsheet, and template code.
Prepare for data engineering interviews: SQL deep dives, Python coding, system design, data modeling, behavioral questions, and take-home project tips.
A comprehensive comparison of data structures — arrays vs linked lists, hash maps vs trees vs tries, heaps vs BSTs, stacks vs queues, sets vs Bloom filters, with decision flowcharts and complexity tables.
A complete framework for solving coding interview problems — the 5-step method, pattern recognition, handling stuck moments, communication strategies, common mistakes, and a 100-problem practice roadmap.
Understand what system design is, why it matters for engineers, the core building blocks of scalable systems, and how to approach system design interviews.
Demystify the modern tech interview loop. Learn what each stage tests, how to prepare for it, and the signals interviewers actually look for.
A walkthrough of the FAANG interview funnel: recruiter screen, phone screen, onsite loop, debrief, and offer. Learn what each stage tests and how to prepare for each one.
A printable cheatsheet of time and space complexities for arrays, hashmaps, trees, heaps, graphs, sorts, and common algorithms. Includes worst-case notes and quick rules of thumb.
Compare cache-aside, read-through, write-through, write-behind, and refresh-ahead. Learn when each strategy fits, what consistency you give up, and how to choose for interviews.
STAR is the most-recommended behavioral interview format and the most-misused. Here is how to actually use it without sounding rehearsed or robotic.
A realistic plan for software engineer interview prep — what the loops look like, where to study, how to practice deliberately, mock interviews, talking while coding, and behavioral STAR.