Skip to content

kartikth40/tech-interview-master

BranchesTags

Repository files navigation

🎯 Tech Interview Master

License: MIT Stars PRs Welcome Contributors Issues JavaScript Target Companies

Your complete guide to cracking SDE-1/2 interviews at top tech companies (Google, Meta, Amazon, Microsoft, Apple)

Because preparation = confidence = success ✨

📚 What's Inside?

1️⃣ DSA Mastery

  • 19 Core Patterns with complexity analysis and skeleton templates
  • Quick Lookup Tables for instant pattern recognition (keyword → pattern)
  • 50+ Coded Solutions across arrays, graphs, strings, DP, trees, and more
  • 10 Data Structures — MinHeap, MaxHeap, PriorityQueue, BST, Trie, Segment Tree, Graph, LinkedList, Stack/MinStack, LRU Cache
  • Advanced Algorithms: Segment Tree, Bitmask DP, Manacher's, Monotonic Deque, Rerooting DP

Quick Links:

2️⃣ System Design

  • 10 Real System Designs - All optimized for 45-min SDE-2 interviews
  • Interview-Ready Format - Perfect for MAANG/Unicorn/Startup interviews
  • India-Specific Designs (Payment Gateway with UPI/Razorpay, Food Delivery like Swiggy/Zomato)
  • Component Deep-Dives (Load Balancers, Caching, DB Sharding, Message Queues, Microservices, Monitoring)
  • Low-Level Design (LLD) - SOLID principles, design patterns, class diagrams, common LLD problems
  • API Design Patterns - REST vs GraphQL vs gRPC with trade-offs and code examples
  • Distributed Systems Concepts - CAP theorem, consensus, replication, sagas, circuit breakers
  • Trade-off Analysis for scalability decisions

All Designs SDE-2 Optimized: Payment Gateway, Uber, WhatsApp, Food Delivery, YouTube, Twitter, Instagram, URL Shortener, Distributed Cache, Netflix

Quick Links:

3️⃣ Behavioral Interview

  • STAR Method Framework for structured answers
  • 20+ Story Templates covering all scenarios
  • 7 Company Guides (Google, Meta, Amazon, Microsoft, Apple, India, Indian Startups)
  • Amazon's 16 Leadership Principles - all updated with stories and examples
  • India-Specific Behavioral Prep covering MAANG India offices and unicorn startups
  • Mock Practice Framework with peer and self-practice protocols
  • Salary Negotiation Guide - scripts, India benchmarks, RSU/ESOP evaluation
  • Questions to Ask Interviewers - 50+ questions by category and company
  • Offer Evaluation Framework - 5-dimension scoring, red flags, comparison template

Quick Links:

4️⃣ Interview Prep

  • 8-Week Study Plan with daily goals and milestones
  • Company-Specific Tips for MAANG interviews
  • India-Specific Guide with salaries, companies, office locations, referral strategies
  • Mock Interview Questions with detailed solutions
  • Progress Tracking templates

Quick Links:

5️⃣ India-Specific Resources 🇮🇳

  • Comprehensive Salary Data for MAANG India and unicorn startups
  • 18+ Top Companies including Flipkart, Razorpay, CRED, Swiggy, Zomato
  • Office Locations Guide (Bangalore, Hyderabad, Gurgaon, Pune, Mumbai)
  • Referral Strategies with templates and success rates
  • India System Designs (Payment Gateway with UPI, Food Delivery platform)

Quick Links:

🚀 Quick Start Guide

For DSA Practice:

# Start with pattern recognition
cat DSA/DSAQuickLookup.md

# Deep dive into specific patterns
cat DSA/DSACompleteGuide.md

# Practice with implementations
cd DSA/patterns
node sliding-window.js

For System Design:

# Learn the framework
cat SystemDesign/SystemDesignGuide.md

# Study real designs
cat SystemDesign/designs/url-shortener.md

For Behavioral Prep:

# Learn STAR method
cat Behavioral/BehavioralGuide.md

# Prepare your stories
cat Behavioral/STAR-stories.md

Follow the Study Plan:

# 8-week structured preparation
cat InterviewPrep/StudyPlan-8weeks.md

🎯 Target Audience

  • SDE-1 / SDE-2 candidates preparing for top tech companies
  • Self-learners who want comprehensive, organized interview prep
  • Career switchers entering software engineering
  • Anyone targeting Google, Meta, Amazon, Microsoft, Apple

📊 Coverage Overview

Category Topics Covered Difficulty Completion
DSA 19 patterns, 50+ algorithms, 10 data structures ⭐⭐⭐⭐⭐ ✅ Complete
System Design 10 designs, 6 components, LLD, API patterns, distributed systems ⭐⭐⭐⭐⭐ ✅ Complete
Behavioral STAR, 7 company guides, 16 Amazon LPs, salary negotiation, offer eval ⭐⭐⭐⭐ ✅ Complete
Interview Prep 8-week plan, India guide, company tips ⭐⭐⭐ ✅ Complete
India Resources Salaries, companies, cities, referrals, designs ⭐⭐⭐⭐ ✅ Complete

🗺️ Repository Structure

tech-interview-master/
├── 📘 DSA/
│   ├── DSACompleteGuide.md          # Comprehensive pattern guide with TOC
│   ├── DSAQuickLookup.md            # Quick reference cheatsheet (20 categories)
│   ├── patterns/                    # 19 pattern files (two-pointers, backtracking, greedy, intervals, matrix, etc.)
│   ├── algorithms/                  # Core algorithms
│   │   ├── array/                   # Binary search, Kadane's, LIS, kSum
│   │   ├── graph/                   # 14 graph algorithms (Dijkstra, MST, SCC, etc.)
│   │   ├── sorting/                 # QuickSort, MergeSort, QuickSelect
│   │   ├── string/                  # KMP, Rabin-Karp
│   │   └── dp/                      # 7 DP implementations (knapsack, LCS, edit distance, etc.)
│   └── data-structures/             # DS implementations
│       ├── heap/                    # MinHeap, MaxHeap, PriorityQueue
│       ├── stack/                   # Stack, MinStack
│       ├── linked-list/             # LinkedList (reverse, cycle, merge, palindrome)
│       ├── tree/                    # BST, Trie, Segment Tree
│       ├── graph/                   # Graph (adjacency list, matrix, builders)
│       └── design/                  # LRU Cache
│
├── 🏗️ SystemDesign/
│   ├── SystemDesignGuide.md         # Framework & methodology
│   ├── LowLevelDesign.md            # SOLID, design patterns, LLD problems
│   ├── APIDesignPatterns.md         # REST vs GraphQL vs gRPC
│   ├── DistributedSystemsConcepts.md # CAP, consensus, replication, resilience
│   ├── designs/                     # Real system designs
│   │   ├── url-shortener.md         # Complete design with capacity calc
│   │   ├── twitter.md               # Social media feed design
│   │   ├── instagram.md             # Photo sharing platform
│   │   ├── youtube.md               # Video streaming with CDN & transcoding
│   │   ├── whatsapp.md              # Real-time messaging with E2EE
│   │   ├── uber.md                  # Ride-hailing with geospatial matching
│   │   ├── netflix.md               # Streaming platform with recommendations
│   │   ├── distributed-cache.md     # Cache design patterns
│   │   ├── payment-gateway.md       # 🇮🇳 Razorpay/PhonePe-style with UPI
│   │   └── food-delivery.md         # 🇮🇳 Swiggy/Zomato architecture
│   └── components/                  # Building blocks
│       ├── load-balancer.md         # L4/L7 balancing strategies
│       ├── caching.md               # Cache strategies & eviction
│       ├── database-sharding.md     # Sharding patterns
│       ├── message-queues.md        # Kafka, RabbitMQ, SQS patterns
│       ├── microservices.md         # Service mesh, API gateway, sagas
│       └── monitoring.md            # Metrics, logs, traces, alerting
│
├── 💼 Behavioral/
│   ├── BehavioralGuide.md           # STAR method framework
│   ├── STAR-stories.md              # Template for 15-20 stories
│   ├── leadership-principles.md     # Amazon's 16 Leadership Principles
│   ├── MockPracticeFramework.md     # Self & peer practice protocols
│   ├── SalaryNegotiation.md         # Scripts, benchmarks, ESOP evaluation
│   ├── QuestionsToAsk.md            # 50+ questions by category & company
│   ├── OfferEvaluation.md           # 5-dimension offer comparison framework
│   └── company-specific/            # Company culture guides
│       ├── google.md                # Googleyness & growth mindset
│       ├── meta.md                  # Move fast, impact-driven culture
│       ├── amazon.md                # 16 Leadership Principles
│       ├── microsoft.md             # Growth mindset & collaboration
│       ├── apple.md                 # Attention to detail & innovation
│       ├── india-specific.md        # 🇮🇳 MAANG India offices & culture
│       └── indian-startups.md       # 🇮🇳 Flipkart, Razorpay, CRED, Swiggy, Zomato
│
├── 🎯 InterviewPrep/
│   ├── StudyPlan-8weeks.md          # Day-by-day study plan
│   ├── CompanySpecific.md           # MAANG focus areas
│   ├── India-Specific.md            # 🇮🇳 Salaries, companies, cities, referrals
│   └── MockInterviewQuestions.md    # Practice questions
│
└── README.md                        # You are here!

🌟 Key Features

✅ Comprehensive Coverage - DSA + System Design + Behavioral in one place
✅ Actionable Templates - Ready-to-use code and story frameworks
✅ Company-Specific - Tailored for Google, Meta, Amazon, Microsoft, Apple
✅ Complexity Analysis - Time/Space for every pattern and algorithm
✅ Progressive Learning - From fundamentals to advanced topics
✅ Interview-Focused - Real questions and scenarios from top companies
✅ LLD & Design Patterns - SOLID principles, patterns, class diagrams
✅ Salary & Offer Guidance - Negotiation scripts, ESOP evaluation, offer comparison

📚 Resources Used

  • LeetCode Top Interview Questions
  • System Design Primer
  • "Designing Data-Intensive Applications" by Martin Kleppmann
  • "Cracking the Coding Interview" by Gayle Laakmann McDowell
  • Company engineering blogs (Google, Meta, Amazon)
  • Real interview experiences

⭐ Support & Contributing

If this repository helps you land your dream job:

  • Star ⭐ this repo
  • Share with friends preparing for interviews
  • Contribute — see CONTRIBUTING.md for guidelines
  • Report issues — found a bug or outdated info? Open an issue

📝 License

This repository is licensed under the MIT License — free to use, modify, and share.

See LICENSE for full terms.

🎯 Final Words

Interview preparation is a marathon, not a sprint.

This repository contains everything you need to succeed, but remember:

  • Consistency > Intensity - Study daily, even if just 1 hour
  • Quality > Quantity - Understand patterns deeply, don't just memorize
  • Practice > Theory - Code every pattern, design every system
  • Mock > Solo - Practice with others to simulate pressure

You've got this! 💪

💰 India Salary Ranges (2026)

MAANG India Offices

Company SDE-1 (0-2 yrs) SDE-2 (2-5 yrs) Office Locations
Google India ₹35-50 LPA ₹70-110 LPA Bangalore, Hyderabad, Gurgaon
Meta India ₹40-65 LPA ₹80-140 LPA Bangalore, Gurgaon
Amazon India ₹25-40 LPA ₹50-80 LPA Bangalore, Hyderabad, Chennai
Microsoft India ₹35-55 LPA ₹70-120 LPA Bangalore, Hyderabad, Noida
Apple India ₹30-50 LPA ₹60-100 LPA Bangalore, Hyderabad

Indian Unicorn Startups

Company SDE-1 (0-2 yrs) SDE-2 (2-5 yrs) Focus Area
Flipkart ₹25-45 LPA ₹55-90 LPA E-commerce
Razorpay ₹20-35 LPA ₹35-50 LPA Fintech/Payments
CRED ₹30-50 LPA ₹50-80 LPA Fintech
Swiggy ₹25-40 LPA ₹40-65 LPA Food Delivery
Zomato ₹22-38 LPA ₹38-58 LPA Food Delivery
Zepto ₹28-45 LPA ₹45-70 LPA Quick Commerce
PhonePe ₹25-42 LPA ₹42-75 LPA Payments
Meesho ₹22-38 LPA ₹38-62 LPA Social Commerce

Note: All figures in Lakhs Per Annum (LPA). Includes base + RSUs/ESOPs. Stock values vary. See India-Specific.md for detailed breakdown.

Last Updated: March 2026
Status: ✅ Complete (Volume 1 — SDE-1/SDE-2)
Target: SDE-1/2 at top tech companies (Global & India)

About

A complete, no-fluff interview playbook covering DSA, System Design, and Behavioral prep for SDE roles

Topics

algorithms leetcode interview-preparation dsa faang system-design-interview maang

Resources

Readme

License

MIT license

Code of conduct

Code of conduct

Contributing

Contributing
Activity

Stars

3 stars

Watchers

1 watching

Forks

2 forks
Report repository

Contributors

Languages