Competitive Programming | DSA | Graph Algorithms | Java | FAANG Preparation

In this video, Ujjwal Painuly explains an advanced Graph problem using Java, following a FAANG-style problem-solving approach.
The solution is optimized and interview-ready, leveraging DFS, PriorityQueue, and Hierholzer’s Algorithm to construct the lexicographically smallest Euler Path — a concept frequently tested in FAANG & top product-based company interviews.
🔥 What You’ll Learn:
✅ FAANG-level problem-solving mindset
✅ Graph modeling using Adjacency List
✅ Efficient use of PriorityQueue in Java
✅ DFS with edge consumption (Hierholzer Algorithm)
✅ Euler Path / Euler Circuit concepts
✅ Writing clean, optimized, interview-ready code
✅ LeetCode Graph problem breakdown
🧠 Core DSA Concepts Covered:
Graph Algorithms
Depth First Search (DFS)
Greedy Strategy
Backtracking
Priority Queue
Eulerian Path
🎯 Who Should Watch This?
👨‍💻 Students preparing for FAANG interviews
💻 Competitive Programming enthusiasts
🔥 LeetCode / Codeforces / Interview candidates
📈 Anyone serious about mastering DSA in Java
🏆 Why This Video is Important:
Graph problems like this test thinking, optimization, and clarity —
exactly what FAANG interviewers look for.
👨‍🏫 About the Creator:
Ujjwal Painuly
Competitive Programming & DSA
Java + Graph Algorithms
FAANG Interview Preparation
👍 Like | Share | Subscribe for FAANG-level DSA content
💬 Comment if you want more interview-focused problems
#FAANGPreparation
#CompetitiveProgramming
#DSA
#GraphAlgorithms
#JavaProgramming
#LeetCode
#DFS
#PriorityQueue
#InterviewPreparation
#SoftwareEngineering
#ProblemSolving

Видео Competitive Programming | DSA | Graph Algorithms | Java | FAANG Preparation канала ujjwal painuly edit