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Software Engineer Node Js

Location:
New Delhi, Delhi, India
Salary:
1300000
Posted:
April 09, 2025

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Resume:

Ankur Singh

Software Engineer

* Noida, India # ****************@*****.*** +91-983******* ï linkedin.com/in/ankur-singh-007a40206 Summary

Experienced Backend Developer with 3.5+ years of expertise in building scalable, high-performance web applications and APIs using Node.js, Express, and cloud-native technologies. Proficient in AWS (Lambda, SQS, AppSync), GraphQL, MongoDB, and MySQL/PostgreSQL. Passionate about performance optimization, microservices, and integrating AI-driven solutions with tools like ChatGPT and Shopify APIs.

Technical Skills

Languages: JavaScript, PHP, HTML, CSS,

Frameworks: Node Js, Express Js, Angular, AngularJS Databases: MySQL, MongoDB, PostgreSQL

Cloud: AWS (Lambda, SQS, S3, Docker, AppSync)

Tools: Git, Jira, Slack, Clickup, RESTful APIs, Cursor, Copilot, Windsurf Other: GraphQL, Shopify Admin API, Redis, Microservices, Professional Experience

Software Engineer Appy Pie LLP, Noida Apr 2024 - Present

• Led multiple software projects, ensuring alignment with client requirements and industry standards through meticulous planning and execution.

• Optimized MongoDB queries using indexing and sharding, reducing average query execution time by 40%.

• Decreased API response time to 300-800ms through caching techniques, handling over 5 million API requests daily using asynchronous processing.

• Ensured best security practices by encrypting sensitive data in payloads, safeguarding data integrity and compliance.

• Developed a dynamic backend using *Node.js* to enhance seamless template customization.

• Built AI-driven educational tools utilizing **ChatGPT APIs** for personalized learning experiences. Tech Stack: Node.js, Express.js, PHP, MongoDB, AWS (Lambda, SQS, S3), MySQL Software Developer CEDCOSS Technologies Pvt Ltd, Lucknow Dec 2021 - Mar 2024

• Developed and maintained web applications, improving user engagement by 40% through optimized backend processes.

• Optimized *MongoDB & MySQL* queries, reducing database response time by 30% for 2,000+ concurrent users.

• Integrated third-party APIs to enhance application functionality and improve user experience.

• Implemented *AWS Lambda* and *SQS* for scalable serverless architectures and efficient message processing.

• Strengthened security by implementing best practices for web and API servers. Tech Stack: Node.js, Express.js, Angular, MongoDB, MySQL, AWS, Bootstrap Projects

Google Shopping Feed - Integrated Shopify API and Google Ads API for seamless product listing. Web & App Builder - Developed a platform enabling mobile app and website creation with template customization functionality. Education

B.Tech in Computer Science & Engineering

Dr. A.P.J Abdul Kalam Technical University, Lucknow Aug 2020 - Jun 2023

• CGPA:- 7.3

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