🔭 I am a Final Year student at Thapar Institute of Engineering and Technology pursuing Computer Engineering. I have a keen interest in Web Development and learning new technologies. I thrive in the dynamic dance of teamwork and self-drive, gracefully gliding through pressure and deadlines with ease.

I love to explore and create software solutions using these technologies:

• Programming Languages: C++, Python, Javascript

• Web Development: HTML, CSS, Javascript, Node.js, MongoDB, React.js, Express.js, Taiwind CSS

• ML and DL: NLP, CNN and Data Preprocessing with libraries- pandas, numpy, matplotlib, sklearn

• Other Skills and Platforms: Git/Github, VSCode, Jupyter Notebook, Firebase, Microsoft Excel, Postman, MySQL

• 📫 Contact me here([email protected])

Below are some of the projects I have created:

1. StudyNotion

   • Developed a fully functional ed-tech platform using the MERN stack, enabling users to create, consume, and rate educational content.
   • 50 plus API’s are designed following the REST architectural style with Node.js and Express.js.
   • Future Enhancements: Mobile app, Machine learning-powered recommendations, Creating personalized learning paths for each student based on their interests and learning style.
   • Repository: StudyNotion

2. Hospital Management System

   • Implemented Role-Based Access Control (RBAC) for 3 user roles (administrators, doctors, patients), ensuring specific dashboard access permissions.
   • Integrated a secure, real-time message board on the dashboard for seamless communication among administrators and patients.
   • Developed an intuitive appointment booking system, allowing patients to schedule appointments with available doctors, reducing booking time by 50 precent.
   • Repository: Hospital-Management-System

3. HR Optiflow

   • Situation:‑Addressing HR inefficiencies, I led the creation of an LLM‑based HR app, optimizing processes and decision‑making.
   • Task:‑Developed a scalable, user‑friendly solution integrating NLP, machine learning, and analytics, streamlining HR operations.
   • Action:‑ •Applied NLP and machine learning for efficiency. •Engineered a job description scoring and CV ranking system. •Implemented a centralized communication hub for HR updates. -
   • Result:‑ The LLM‑HR app streamlined processes, reduced manual efforts, and enhanced decision‑making, transforming the hiring experience.
   • Repository: Hr-Optiflow

Programming Languages: