● Developed and deployed a Rust-based NFT smart contract compatible with Paras NFT Marketplace, Mintbase Marketplace, and Few and Far Marketplace, incorporating advanced features like royalties and custom constraints.● Integrated four secure wallet options to ensure seamless user experience and secure transactions within the NFT marketplace.● Successfully launched and maintained a collection of 1,000 NFTs and also Implemented Stripe payments integration● Managed Backend developement with TypeScript, NodeJs, MongoDB, Vercel hosting, Github Codespaces, and Performed Unit Testing using Jest

● Built smart contracts to create a DeFi infrastructure for buying and selling indexes consisting of different on-chain fungible tokens and worked on security audit for the smart contract● Integrated Invex smart contracts with Ref finance (decentralized exchange) smart contract for performing a token exchange, using async cross-contract calls and performed comprehensive testing for a token exchange. ● Managed Hosting and added real-time index token price evaluation enhancing the functionality and user experience

• Responsible for building Decentralized Finance (DeFi) based application on NEAR Protocol Blockchain.• Making smart contract for creating and managing the Indexes that contains different on-chain Crypto tokens.• Writing code in Rust language, calling Exchange methods via cross-contract calls, and more.

• Learned and used Microsoft Azure & GitHub tools to create an end-to-end project hosted on cloud. • Build a platform where individuals uploads video to understand sentiments, behavioral polarity with other features like Person Identification, Caption generation, and more.• Used 3+ Azure services like Azure Blob Storage for Storing video, Azure Video analyzer for Sentiment Analysis, Caption Generation and Azure Web Hosting for hosting the project on the Azure cloud.

● Led a team of 4 to build an interactive dashboard on Power BI showcasing student academic performance considering the need for faculty to review and track the student performance● Conducted predictive analysis on student marks using linear Regression Technique of machine learning● Performed data cleaning, EDA, and transformation to bring student data into the required format