A structured 25-session mentorship program designed to prepare engineers for FAANG and top-tier tech company interviews by building mastery in Data Structures & Algorithms (DSA) and High-Level System Design (HLD)

This program focuses on developing the problem-solving mindset, coding clarity, and system architecture thinking required to crack highly competitive engineering interviews and build scalable production systems.

Part 1: Data Structures & Algorithms (15 Sessions)

The first half of the program builds strong algorithmic thinking and coding fluency, covering the most important patterns asked in FAANG interviews.

Topics include:

• Arrays & Advanced Array Problems

• Matrix / Grid Traversal

• Strings & Pattern Matching

• Recursion & Backtracking

• Stack & Monotonic Stack Patterns

• Queue & Deque Applications

• Linked Lists

• Hashing & Hash Maps

• Heap / Priority Queues

• Trees & Binary Tree Traversals

• Graph Algorithms (BFS / DFS / Topological Sort)

• Sliding Window Technique

• Two Pointer Technique

• Searching & Sorting Algorithms

• Dynamic Programming

• Greedy Algorithms

Focus areas during sessions:

• Pattern recognition for solving unseen problems

• Writing clean production-ready Python code

• Optimizing time and space complexity

• Communicating solutions clearly (a critical FAANG skill)

Part 2: High-Level System Design (10 Sessions)

The second half focuses on designing scalable distributed systems similar to what large tech companies operate at scale.

Core concepts covered:

System Design Foundations

• What is System Design

• Why System Design matters in Senior / Staff interviews

• Design thinking & architecture tradeoffs

Scalability & Performance

• Load Balancing

• Horizontal vs Vertical Scaling

• CDN Architecture

• Caching Strategies

• Redis Caching

Databases

• SQL vs NoSQL

• ACID Properties

• Indexing

• Concurrency Control

Distributed Systems

• CAP Theorem

• Sharding & Partitioning

• Consistent Hashing

• Hashing Strategies

Modern Architectures

• Microservices vs Monolithic Architecture

• Stateless vs Stateful Systems

• Messaging Systems (Kafka, RabbitMQ, Zookeeper)

Reliability & Performance

• Threads vs Processes

• Concurrency Handling

• Rate Limiting

• Request Throttling

Real-World System Design Case Studies

We apply these concepts to design systems used by billions of users, including:

• Designing a URL Shortener (TinyURL)

• Designing Instagram

• Designing Facebook Messenger

• Designing YouTube / Netflix

• Designing Twitter Search

• Designing Facebook Newsfeed

• Designing Uber Backend

Each design session focuses on:

• Requirement clarification

• Architecture diagrams

• Data modeling

• Scaling strategies

• Bottleneck analysis

Outcome

By the end of this program, participants will:

• Master core DSA patterns used in FAANG interviews

• Develop strong coding and problem-solving abilities

• Learn how large-scale distributed systems are designed

• Gain the confidence to handle System Design interviews for Senior roles