Web Developer Application

Kundan Mergu

# ******.*****@*****.*** 224-***-**** ð kundan-mergu-929b4a222 § codeMaster-2004

Education

BS University of Illinois at Urbana-Champaign, Computer Science and Economics

• Relevant Coursework: Data Structures, Database Systems, Computer Systems, Geospatial AI/ML, Numerical Methods

Aug 2022 – May 2026

Experience

Analytical Scientific Products, Web Developer

• Developed and deployed a website using Node.js that ensures a seamless user-interface with cross-browser compatibility

• The responsive design that makes intuitive sense increased the website traffic by about 36.4%

• Ensured that the web application followed a consistent responsive design across 20+ webpages

Remote

Projects

Curriculum Crafter

• Developed a dynamic web application using React and JavaScript to generate customized academic plans for students by analyzing data from 3,680+ courses, including prerequisites and major-specific requirements.

• Built a robust backend in Flask with MySQL, implementing APIs to manage course data, track academic progress, and handle user accounts seamlessly.

• Enhanced user academic planning by incorporating 12+ AP credits and 500+ transfer credits ensuring efficient graduation pathways through real-time validation and prerequisite bypass logging. UIUCProfCritic

• Developed a Chrome extension that integrates ratings of 5000+ professors from data scraped using Python from RateMyProfessors website with a university registration platform

• Enhanced the user experience by relavant HTML/CSS displaying relevant ratings and details directly within the course selection interface

• Integrated the data into the extension with Javascript dynamic content updates and user-friendly UI components Multi-Modal Similarity Framework for MNIST

• Designed a PyTorch model to align image and text embeddings using a combination of classification and similarity-based loss functions, achieving over 99% classification accuracy and 95% image-text matching accuracy.

• Created a robust training pipeline with data preprocessing, augmentation, and optimization, achieving a classification and matching accuracy of more than 99%. Technologies

Languages: Python, Javascript, C++

Technologies: React, Node.JS, HTML, CSS, Pandas, NumPy, Matplotlib, Seaborn, Pandas, Pytorch, Torchvision, Python Imaging(PIL), QGIS, ArcGIS, scikit-learn

Extracurriculars

Mathnasium: As the lead instructor, I coordinated with 3-4 other tutors to design math coursework.

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