I am a dedicated blockchain enthusiast with a strong focus on decentralized technology and Ethereum smart contract development. I have achieved recognition for my work in the blockchain space through a series of notable projects and contributions. I also love working with data, ML Models and GenAI.
One of my key accomplishments was winning Smart India Hackathon 2023. This experience showcased my problem-solving skills and aptitude for innovative solutions. My expertise was further exemplified by the development of an Ethereum-based Election Decentralized Application, which included the deployment of a secure smart contract on the Sepholia testnet. This application aimed to provide a transparent and tamper-proof voting process. This knowledge also helped me win a share in Scroll's Prize Pool at EthIndia 2023.
In addition to my decentralized application work, I delved into blockchain architecture by creating a custom blockchain using Python and deploying it locally through the Flask framework. As the Flutter Head at Quark, VIT Pune, I have been actively involved in mobile app development, contributing to the growth of the organization.
Moreover, my involvement in blockchain extends to the development of Solidity-based smart contracts for the secure storage of Electronic Health Records. These contracts were designed to ensure the confidentiality and integrity of medical data while also facilitating secure transactions through the MetaMask wallet. My passion for blockchain technology continues to drive me towards exploring new frontiers and contributing to its real-world applications. I am always open to collaborating and discussing innovative blockchain projects with like-minded individuals.
• Developed efficient and user-friendly Dart code based on UI designs provided by the design team.
• Conducted thorough testing and debugging to identify major and minor bugs, resolving minor issues independently.
• Demonstrated proactive thinking by suggesting innovative ideas and actively participating in their implementation.
• Developed a ML ensemble model and Zero-Shot classifier that labelled 33000 records accurately.
• Tasked with creating a Dedupe Pipeline that fetches data from different data sources using Apache Beam.
• Working on M1 recommendation system for targeted advertisement using DenseNet.
• Created a pipeline that fetches data from a sink for a business and uploads it on-prem on GCS bucket which is executed
using cron jobs reducing 20% of manual work.
• Responsible for major and minor changes in cloud functions on GCP.