About
I am Dhwani Budhiraja, a final-year Computer Science Engineering student at VIT Bhopal, specializing in Artificial Intelligence and Machine Learning. With a strong grasp of core CSE subjects and intermediate to advanced skills in data structures and algorithms, I am a quick learner with a deep passion for system design. My academic journey has fostered a keen interest in the latest technologies, particularly in Artificial Neural Networks. I have extensively studied various AI/ML subjects, ranging from Deep Learning to Fuzzy Logic to Natural Language Processing, and I am committed to expanding my knowledge daily in the ever-evolving tech landscape.
Skills
Check out my latest work
These projects are a glimpse into what I’ve been working on. I’m always refining my approach and slowly building new things, with much more tocome.
VITicketeer
VITicketeer is an event management platform tailored for your university, featuring a user-friendly interface, secure ticketing via Stripe, and efficient user authentication with Clerk. It simplifies event creation, management, and participation, keeping the campus community connected.
BucketByte
BucketByte is a platform designed to generate AI-powered blog content, simplifying the content creation process with secure cloud storage and efficient serverless integration. It reflects practical experience in working with Amazon Web Services to create a reliable and scalable solution.
NeuroNote
A web application that enables users to upload documents and create notes, featuring integrated AI-powered search capabilities for efficient information retrieval. It leverages cutting-edge technologies to provide a seamless experience in managing and searching through personal and team documentation.
Check out my upcoming projects
These projects are what I'm working on right now and soon will be available in the future
PadhoVIT
Developing a comprehensive Learning Management System (LMS) using Next.js, Node.js, and MongoDB, focusing on a seamless user experience and efficient backend processes. Integrating technologies like Redis for caching and AWS S3 for media storage, leading to significant improvements in performance and user engagement.
RAG
Developed a robust and free medical knowledge base using Retrieval Augmented Generation (RAG) with Pinecone, Next.js, LangChain, and Transformers.js. The project processes medical documents for seamless retrieval and embedding, offering efficient and cost-effective AI-powered solutions.
I like learning more
During my time in university, I have completed 1+ certificates. And I plan on keep my learning accelerated.
- A
Amazon Cloud Practitioner
Completed AWS Cloud Practitioner certification with a good grasp of cloud basics. Proficient in deploying secure cloud solutions, monitoring performance, and implementing disaster recovery plans. I can manage and support cloud environments, ensuring they run smoothly and securely.