karan kumar Rajput

This guide book is designed to strengthen your core software engineering and computer science fundamentals. It provides carefully curated problem statements across areas such as lock-free programming, multithreading, core C++ concepts, real-world low-level system design, and scenario-based challenges around market feed handlers, exchange connectivity, and order management systems. The primary focus is solely on problem statements, designed to promote deep thinking and practical hands-on implementation.

Topics Covered:

1. Core C++
2. Memory Management (Extremely Important for low-level interview)
3. Move Semantics & Perfect Forwarding (Critical)
4. STL Deep Understanding (Not Just Usage)
5. Templates & Metaprogramming
6. Concurrency & Multithreading (VERY HIGH PRIORITY)
7. Lock-Free Programming
8. CPU & Performance Internals (Critical for HFT)
9. Code Optimization Techniques
10. Bonus: Non-C++ Topics You Must Know
11. Low-Level Problems in C++
12. Scenario based Low-Level System Design Problems
13. Scenario based problems around Order Management System
14. Scenario based problems around Market Feed Handler
15. Scenario based problem around Exchange Connectivity
16. Timers in C++
17. Distributed System
18. Scenario based problems on Distributed system

Sample Document: https://docs.google.com/document/d/1lyXYCghIn2HouvsCtwgLiVS14ABV8Hju5MaDfCPmIhM/edit?usp=sharing

Who should purchase:

1. Someone deeply interested in core computer engineering concepts
2. Someone who wants to build and understand complex systems at scale
3. Those preparing for HFT, systems, or compiler engineering interviews
4. Focused individuals willing to explore beyond just DSA and problem-solving

Who should not purchase this:

1. Those who want to focus only on DSA and nothing beyond it
2. Individuals with no interest in memory management, concurrency, low-level system design, timers, or distributed systems
3. Those who are already highly proficient in core computer science fundamentals
4. Anyone not willing to dedicate consistent time and effort to deep learning

Note:I have invested a significant amount of time and effort into creating this entire guide. However, if after purchasing it you genuinely feel that it did not deliver value, please feel free to reach out to me on LinkedIn, and I will refund the full amount you paid. I will also continue updating the book periodically based on requirements, and detailed solutions to all the questions included in the guide will be added soon.