About Me

I am a fourth-year student at Parul University, immersed in the world of Computer Science with a focus on Artificial Intelligence. Throughout my academic journey, I have delved deep into the realms of machine learning, deep learning, natural language processing (NLP), and computer vision. Driven by a passion for problem-solving, I've embarked on numerous projects that have honed my skills and showcased the transformative potential of technology. Looking ahead, I aspire to merge my expertise in AI with full-stack development, aspiring to become a data scientist and MERN stack developer. With a hunger for knowledge and a commitment to innovation, I eagerly anticipate the opportunities that lie ahead in shaping the future of technology.

Frontend

HTML

CSS

JavaScript

ReactJs

Bootstrap

Backend

NodeJs

ExpressJs

MongoDB

SQL

Python

Data Science

Machine Learning

Deep Learning

NumPy

Pandas

Matplotlib

Seaborn

Scikit-Learn

TensorFlow

Tools

Git

Github

VsCode

Jupyter Notebook

Postman

Figma

Canva

Experience

Research Intern

byteXL-University of West London

Pioneered image-to-text generation using custom stable diffusion techniques.

Participated in data collection, preprocessing, and analysis using Python, PyTroch, or other relevant tools.

Contributed to writing research papers and reports

Hackathon

PU CODE 36-Hour Hackathon

Demonstrated resilience and creativity through sustained focus and teamwork in a high-pressure, time-constrained environment

Created a tool to help farmers detect crop diseases and analyze soil, using React and FastAPI

Hackathon

Parul Lets Hack Hackathon

Created a TensorFlow-powered tool to diagnose tuberculosis from X-rays.

Collaborated with interdisciplinary team members, including developers, designers, and subject matter experts, to analyze problem statements and devise innovative solutions.