Strategy
Elite Preparation Framework
Behavioral — STAR Method
Situation: Context of the event.
Task: What was required of you?
Action: What did YOU specifically do?
Result: Outcome with numbers (e.g., +20% efficiency).
Target: Prepare 10-12 core stories.
Selection Differentiators
- • Structured communication > Fast coding.
- • Explaining trade-offs (A vs B).
- • Handling ambiguity with clarifying questions.
- • Writing modular, production-grade code.
Core Fundamentals
OS
Threads, Deadlocks, Mutex, Paging.
DBMS
Indexing, ACID, Query Optimization.
Networking
TCP/UDP, HTTP, Load Balancing.
X. TECHNICAL
ARCHIVE (ADVANCED)
Distributed Computing Mastery
1. Consistent Hashing: Crucial for horizontal scaling. Solves the issue of re-mapping keys
when nodes are added/removed. Ring structure with virtual nodes ensures uniform data distribution.
2. Gossip Protocols: Decentralized communication. Used for cluster membership and failure
detection (e.g., Apache Cassandra, Redis Cluster).
3. Distributed Tracing: Observability in microservices. OpenTelemetry, Jaeger, and Zipkin.
Context propagation across service boundaries.
4. Stream Processing: Kappa vs Lambda Architectures. Exactly-once processing guarantees in
Apache Flink and Kafka Streams.
5. CAP Theorem & Trade-offs: Understanding when to prioritize Availability (AP) vs
Consistency
(CP) in systems like DynamoDB vs MongoDB.
6. Database Indexing Deep Dive: B-Trees vs B+ Trees, LSM Trees (Log-Structured Merge-Trees)
for write-heavy workloads like Cassandra and InfluxDB.
High-Level Mental Models
1. First Principles Thinking: Breaking down complex
problems into basic truths for innovation.
2. Pareto Principle (80/20): Focus on the 20% of
patterns
that cover 80% of LeetCode hard problems.
3. Second-Order Thinking: Considering the consequences
of
consequences (critical for System Design trade-offs).
4. Occam's Razor: Choosing the simplest architecture
that
solves the scale requirement.
Hard Algorithmic Patterns
• Heavy Hitters (Top K): Count-Min Sketch for frequency estimation. Misra-Gries algorithm
for
space-efficient top-k identification.
• Range Minimum Query (RMQ): Sparse Table (pre-processing O(N log N), query O(1)). Useful
for
LCA of trees.
• Network Flow: Ford-Fulkerson and Edmonds-Karp. Applications in bipartite matching and
resource allocation.
• Advanced DP: DP on Trees (using DFS to propagate states), Digit DP (counting numbers with
specific properties), Bitmask DP for TSP-style problems.
• Geometry Algorithms: Convex Hull (Monotone Chain), Segment Intersections, Sweep Line
algorithms for range searches.
52-WEEK MASTER CURRICULUM
Week 1-4: Foundations & Logic. Big-O, Arrays, Strings, Two Pointers, Sliding Window.
Week 5-8: Core Structures. Linked Lists, Stacks, Queues, Recursion mastery.
Week 9-12: Hierarchical Data. Binary Trees, BSTs, Heaps, Treaps.
Week 13-16: Graph Theory. BFS, DFS, Connectivity, Topological Sort.
Week 17-20: Advanced Graphs. Dijkstra, Bellman-Ford, Prim's, Tarjan's SCC.
Week 21-26: Dynamic Programming. 1D, 2D, Knapsack, LIS, LCS, Matrix Chain.
Week 27-30: String Algorithms. KMP, Rabin-Karp, Z-Algorithm, Tries, Suffix Trees.
Week 31-35: System Design Fundamentals. Load Balancers, Proxies, Caching, Sharding.
Week 36-40: Advanced Systems. Microservices, Message Queues (Kafka), Consensus (Raft).
Week 41-45: Industrial Case Studies. Instagram, WhatsApp, Uber, Netflix, YouTube
architecture.
Week 46-48: Behavioral Mastery. Leadership Principles, Conflict Resolution, STAR Method.
Week 49-52: High-Pressure Mocks. Peer interviews, Salary negotiation, Final Review.
"Consistency is the only superpower that matters."
AI Hub
The Most Famous Apps in the AI Ecosystem
LLMs & Intelligent Chat
Software Engineering
Creative & Multimedia
Research & Productivity
Specialized Industrial AI
Data Science: Polymer, Akkio, MonkeyLearn, KNIME, DataRobot.
Design/UI: Galileo AI, Uizard, Attention Insight, Fontbolt.
Marketing: Jasper, Copy.ai, Anyword, AdCreative, Writesonic.
Sales/CRM: Apollo.io, Gong, Lavender, Regie.ai, Outreach.
Customer Support: Intercom Fin, Ada, Kustomer, Forethought.
Legal: Harvey, CoCounsel, Ironclad, Luminance, Spellbook.
Deep Dev & Architecture AI
Code Reviews: Codacy, CodeRabbit, Codiga, DeepSource.
Documentation: Mintlify, Swimm, Trelent, scribe.
Testing: Applitools, Testim, Mabl, Functionize.
Security: Snyk AI, Mend.io, Checkmarx, Veracode.
Infrastructure: Pulumi AI, Firefly, Brainboard.
Omni-Productivity & Automation
Meetings: Otter.ai, Fireflies, Grain, Rewatch.
Email: Superhuman, Shortwave, SaneBox.
Workflows: Zapier Central, Make.com, Bardeen.
Visualizations: Gamma, Beautiful.ai, Tome, Decktopus.
Progress
Heatmap · Journal · Phase breakdown
Activity Heatmap — 6 Months