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I applied via Recruitment Consulltant and was interviewed before Dec 2021. There were 2 interview rounds.
I am an excellent problem solver with a keen interest in algorithm design and optimization.
I enjoy breaking down complex problems into smaller, more manageable components.
I have experience in developing efficient algorithms for data processing and analysis.
I am always looking for ways to optimize code and improve performance.
I am interested in exploring new technologies and frameworks to solve problems in innovative wa...
I have knowledge in various programming languages, frameworks, and technologies.
Proficient in Java, Python, and C++
Experience with web development using HTML, CSS, and JavaScript
Familiarity with databases such as MySQL and MongoDB
Knowledge of software development methodologies like Agile and Scrum
Understanding of design patterns and object-oriented programming principles
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I applied via Approached by Company and was interviewed in Aug 2017. There were 5 interview rounds.
posted on 3 Mar 2025
I appeared for an interview in Sep 2024.
Initializer lists in C++ allow for efficient member initialization and can improve code clarity and performance.
Used to initialize member variables in constructors: `MyClass(int a) : x(a), y(0) {}`.
Enables direct initialization of const and reference members: `const int value; MyClass() : value(42) {}`.
Facilitates initialization of base class members: `Derived() : Base(10) {}`.
Allows for initialization of STL container...
posted on 13 Oct 2024
posted on 16 Sep 2024
I applied via LinkedIn and was interviewed in Mar 2024. There was 1 interview round.
Arrays related problem
I applied via LinkedIn and was interviewed before Jan 2022. There were 4 interview rounds.
Microservices are modular and scalable, while monolithic is simpler but less flexible.
Microservices allow for independent deployment and scaling of individual components
Monolithic architecture is easier to develop and test, but can become unwieldy as the application grows
Microservices can be more fault-tolerant and resilient to failures
Monolithic architecture can be more efficient for small applications with limited fu...
Zero one knapsack problem is a classic optimization problem in computer science.
It involves selecting a subset of items with maximum value, subject to a weight constraint.
It is a NP-hard problem and can be solved using dynamic programming.
Examples include packing a backpack with limited weight capacity or selecting stocks for a portfolio with limited investment budget.
The 3 Sum problem involves finding unique triplets in an array that sum to zero.
Sort the array to facilitate easier triplet finding.
Use a loop to fix one element and apply two-pointer technique for the other two.
Skip duplicates to ensure unique triplets are counted.
Example: For input [-1, 0, 1, 2, -1, -4], the output is [[-1, -1, 2], [-1, 0, 1]].
posted on 30 Jul 2021
I applied via Naukri.com and was interviewed before Jul 2023. There were 2 interview rounds.
Easy aptitude test they asked all basic questions.
Easy coding and technical round. C# questions.
posted on 17 Apr 2024
I applied via Referral and was interviewed before Apr 2023. There were 3 interview rounds.
based on 2 interview experiences
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