PRANJAL KULSHRESTHA
I am WEB DEVELOPER
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PRANJAL KULSHRESTHA
WEB DEVELOPER
A highly motivated Computer Science graduate (June 2025) with hands-on experience in full-stack web development and machine-learning–driven projects. Proficient in MERN, Next.js, Python (computer vision), and responsive design. Strong collaborator who thrives in agile environments. Eager to contribute technical expertise and continue learning in a fast-paced organization.
Work Experience
Empowering Creativity through
Jan2025 - Present
Adeptimize
Web Developer
Collaborate with designers, QA, and product owners to implement new features—improved load times by 25% through code optimization and lazy loading. Troubleshoot and resolve bugs promptly, reducing average downtime by 40%.
May2024 - July2024
Celebal Tech.
Data Science Intern
Implemented Diabetes and Heart Disease prediction models using scikit-learn in Google Collab. Troubleshoot and resolve bugs promptly, reducing average downtime by 40%. Designed and deployed a Plant Disease Prediction System: captured leaf images via OpenCV, built a CNN in Python (TensorFlow/Keras), achieving 92% classification accuracy.
june2024 - July2024
IBM skills build
AI-ML Intern
Trained and evaluated ML models visually using IBM Watson Studio, without writing code. Built end-to-end machine learning pipelines, including data ingestion, model training, and deployment using visual tools. Explored and navigated the IBM Cloud Platform, understanding key cloud services and deployment tools.
My Skills
Core competencies that drive my performance.
Programming Languages
JavaScript (ES6+)95 %
Python (ML, CV,OOPS)91 %
C++ (Data Structures & Algorithms)95 %
HTML5, CSS3, SASS/SCSS95 %
Frontend Development
React.js97 %
Next.js98 %
Tailwind CSS99 %
DOM Manipulation98 %
Responsive Design99 %
Backend Development
Node.js92 %
Express.js97 %
RESTful APIs92 %
JWT Authentication95 %
API Integration98 %
Databases
MongoDB (NoSQL)96 %
MySQL98 %
Machine Learning
scikit-learn (ML pipelines, feature engineering)90 %
IBM Watson Studio (Visual training & chatbot integration)95 %
NumPy, Pandas98 %
OpenCV (Image processing, CV tasks)92 %
Tools & Utilities
Git / GitHub (Version Control)96 %
Postman (API Testing)90 %
VS Code92 %
Arduino IDE98 %
PyCaw (System volume control)96 %
Tkinter (GUI for desktop apps)98 %
CMS & No-Code Builders
WordPress91 %
Wix92 %
Soft Skills
Collaboration in Agile teams94 %
Time Management91 %
Problem-Solving98 %
Education
Empowering Creativity through
2021-2025
Bachelor of Technology
Jaipur National University
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My Projects
Customer Experiences: A Tapestry of Happy Moments
PICATO-NEXTJS WebApp
Built a full-stack food-ordering application using Next.js, featuring server-side rendering (SSR), dynamic routing, and optimized performance. Implemented menu browsing, cart management, order placement, and payment integration; used Tailwind CSS for a responsive, mobile-first UI.
VOTING APP -MERN STACK
Developed a secure online voting platform enabling registered users to cast votes in real-time. Implemented user authentication (JWT-based) and role-based access (User/Admin). Integrated MongoDB for persistent vote and user storage, with proper indexing for fast retrieval.
Volume Control Using Hand Recognition
Built a real-time hand gesture recognition system to control system volume using finger distance. Utilized MediaPipe Hands for precise landmark detection of fingers (thumb and index finger). Mapped the distance between landmarks to system audio levels using PyCaw. Integrated OpenCV for real-time webcam feed and visual feedback (volume bar, gesture highlights)
Student Management System
Developed a GUI-based application to manage student records including name, roll number, branch, and marks by using Tkinter Library. Implemented core CRUD operations (Create, Read, Update, Delete) with SQL queries via Python. Useful for academic institutions to maintain and query student data efficiently
Languages
Core competencies that drive my performance.
Skills
ENGLISH91 %
HINDI94 %
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