Aayush malviya Data structures and algorithms, java, python
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Hi there! I'm Aayush Malviya, a Software Development Engineer with a deep passion for Java and Data Structures & Algorithms (DSA). I've had the opportunity to work at top companies like Phenom and Nagarro, where I’ve applied Java in real-world projects, developed scalable applications, and solved complex problems using DSA.

With different coding questions solved on platforms like LeetCode and CodeChef, I understand the kind of challenges you might face, whether it's for interviews or improving your coding skills. My goal is to make learning Java and DSA fun and easy to understand, using practical examples from my own experience. Together, we’ll not just learn the concepts but also apply them to real-world scenarios, helping you build confidence for your coding journey.

Let’s make coding simpler and more exciting—I'm here to help you succeed!

Subjects

  • JAVA (Core) Beginner-Expert

  • Data Structures & Algorithms Beginner-Expert


Experience

  • Product development engineer 1 (Feb, 2024Present) at Phenom people, Hyderabad
    As a Product Development Engineer 1 (PDE1) at Phenom, I have been responsible for designing and developing secure, scalable RESTful APIs using Java and Spring Boot to enhance application performance. I have applied my expertise in NoSQL databases such as MongoDB and Elasticsearch to optimize queries and implement effective data modeling strategies. Additionally, I have leveraged Python libraries like NumPy and Pandas for data processing, integrated Snowflake for advanced analytics, and utilized Lightdash for insightful data visualization. My role also involves configuring real-time monitoring alerts via Slack and APM systems and incorporating NLP techniques to further improve data analysis and application functionality.
  • Associate software engineer (Mar, 2023Feb, 2024) at Nagarro Enterprise Services Private Limited, Gurgaon

Education

  • Btech (Jul, 2019Jul, 2023) from ORIENTAL COLLEGE OF TECHNOLOGY bhopal

Fee details

    3501,000/week (US$4.1311.79/week)

    The fee will not vary, but if it does, it will only be based on the content


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