About
Backend Software Engineer with over 3 years of experience in building secure, scalable, and high-performance applications using Node.js, Express.js, Python, AWS, MongoDB, and PostgreSQL. Skilled in developing RESTful APIs, microservices, cloud-based solutions, and Web3 applications with expertise in backend security, Docker, ETL pipelines, and AI-enabled systems. Experienced in designing efficient architectures and delivering reliable solutions through strong problem-solving and technical expertise.
Skills & Expertise (34)
Work Experience
Backend Software Engineer
Varunastra Technologies
May 2023 - May 2026
Designed a scalable backend architecture using Node.js and Express.js, developing robust RESTful APIs with MongoDB to support critical user activity data across web and mobile applications. Strengthened backend security and improved API performance by implementing JWT-based authentication, endpoint rate limiting, and optimized database pagination strategies. Engineered a high-performance MongoDB database architecture from the ground up, establishing efficient schemas and compound indexing strategies that reduced query execution time by 40%. Developed a multi-chain payment framework by deploying custom smart contracts to enable user-initiated transactions across Solana, Arbitrum, Base, Optimism, and Celo blockchain networks. Managed end-to-end AWS infrastructure across EC2, Lambda, API Gateway & S3, establishing scalable cloud environments with monitoring, observability, and alerting mechanisms. Created a modular, object-oriented JavaScript/TypeScript SDK using dependency injection and facade design patterns to streamline smart contract interactions and integration between on-chain and off-chain services. Architected backend systems for a Web3 crowdfunding platform using Node.js and MongoDB, while developing Solidity smart contracts integrated with Alchemy RPCs for secure donations and automated minting of dynamic, tier-based NFTs. Built an asynchronous FastAPI-based AI recommendation engine leveraging Google Gemini for zero-shot semantic classification of projects against Sustainable Development Goals (SDGs), with robust validation using Pydantic. Applied expertise across Node.js, Python, AWS, REST APIs, Firebase, Docker, Rust, MongoDB & microservices architecture to deliver scalable and reliable backend solutions.
Business Intelligence Engineer Intern
Amazon
Jan 2022 - Jun 2022
Developed ETL pipelines using PostgreSQL-based transformations to extract, process, and optimize high-volume telemetry data from Amazon’s Andes Data Lake for analytical consumption. Structured optimized and denormalized datasets in Amazon Redshift, enabling efficient querying and improved accessibility for business intelligence use cases. Created interactive Amazon QuickSight dashboards on top of Redshift data models, enabling cross-functional teams to perform self-service analysis of customer targeting strategies for B2B products including Pay by Invoice and Amazon Business Amex. Implemented a PostgreSQL-based gaps-and-islands algorithm to transform high-cardinality temporal datasets into Slowly Changing Dimension (SCD) Type 2 models, reducing storage requirements by over 95%. Leveraged expertise in AWS, ETL development, PostgreSQL, and data modeling to support scalable analytics and data-driven decision-making.
Education
Bachelor of Engineering - Computer Science & Engineering - NMIT, Bengaluru
2018 - 2022 · Afghanistan
Certifications
No certifications added yet
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Relocation
Depends on Offer
Skills (34)
Click a skill to find developers with the same skill
