Work Experience
Software Engineer - Polytrade (Riqueza Capital Advisory Service) (NFT Marketplace and DeFi Protocol Integration)
Duration: 07/2022 - Present
Summary:- Developed a full-featured NFT Marketplace supporting minting, wrapping, ownership transfer, and royalty distribution across ERC-721 and ERC-1155 standards
- Integrated DeFi protocols including lending, staking, and liquidity pooling with React frontends, enabling seamless user interaction with smart contracts
- Designed reusable component libraries and built CI/CD pipelines for efficient deployment on AWS infrastructure
Responsibilities:- Architected and developed end-to-end smart contract integration for NFT Marketplace.
- Integrated DeFi protocols with React frontends using Ethers.js and Wagmi.
- Designed reusable component library following Atomic Design architecture.
- Built CI/CD pipelines using AWS CodePipeline and CodeDeploy for zero-downtime releases.
- Implemented unit and integration tests using Jest and React Testing Library.
Technologies: React, Node.js, TypeScript, Ethers.js, Wagmi, Solidity, AWS (EC2, S3, Amplify, CodePipeline, CodeDeploy), Jest, React Testing Library, MongoDB
Application Engineer - Exuber Software Solution Pvt. Ltd (High-Performance React Interfaces and RESTful API Development)
Duration: 06/2021 - 07/2022
Summary:- Developed high-performance, responsive React interfaces with sub-2-second load times validated by Lighthouse audits
- Built RESTful APIs using Node
- js and MongoDB, integrating third-party services to automate workflows and reduce manual operational tasks
- Collaborated on UI/UX refinements to improve user engagement
Responsibilities:- Developed responsive React interfaces with performance optimization.
- Built RESTful APIs and integrated third-party services.
- Collaborated with designers and stakeholders on UI/UX improvements.
Technologies: React, Node.js, MongoDB, REST APIs, Lighthouse
AI / Data Science Intern - Ismile Technology, LLC (Facial Pain Detection Model)
Duration: 12/2020 - 03/2021
Summary:- Built a facial pain detection model using Keras and OpenCV achieving 89% classification accuracy
- Deployed the model to Microsoft Azure for real-time inference accessible via a REST API endpoint
Responsibilities:- Developed machine learning model for facial pain detection.
- Deployed model on Microsoft Azure for real-time inference.
Technologies: Keras, OpenCV, Microsoft Azure, REST API
Education
- Bachelor of Computer Application (BCA)
Amity University
2018 - 2021
Upstaffer since May, 2026
