Hello there, and welcome to my digital universe!!
I’m a passionate MERN full-stack developer with a deep interest in backend development, DevOps, cloud computing, data analytics, and generative AI. I'm always eager to expand my knowledge and skills, and I’m driven by a desire to make meaningful contributions to these fields. Problem-solving has always been my main focus, and technology has consistently captivated me with its potential to shape the future.
I excel in teamwork and possess strong leadership capabilities, understanding that collaboration and effective leadership are crucial for the success of any project.I stay updated with the latest technologies and look forward to building innovative solutions for real-life challenges. I am well-versed in software engineering practices and have been coding since my second year of college, always pushing myself to take on new challenges.
I believe that data is the new oil, and I'm excited to be part of the technological revolution that harnesses its power.
C, Java, Python, Typescript, Go
MySQL, MongoDB, SQLite, Neo4j, Cassandra
React, Node, Docker, Kubernetes, Jenkins, Postman, Socket.io, WebRTC
Built with Node.js, Express, and the Hugging Face Inference API, featuring a sleek dark/light mode and Slack integration. This app allows users to input text and receive AI-generated summaries instantly, enhancing productivity and communication.
This app is designed to read and analyze PDF documents. You can ask questions about the content, and it provides detailed and accurate answers based on the information in the PDFs. Took help from Docker's GenAI tech stack.
A digital bookstore where you can organize your favorite books and authors, perform all CRUD operations, and categorize your collection by genres or publication dates.
(Random forests, Linear Regression, Support Vector Machines) Analysed the price and surge multiplier for the rides. Achieved an accuracy of 97 percent using Random Forests with AdaBoost.
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