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Assessing your cultural and operational fit
React Frontend Engineer with less than a year in web development and AI/ML, graduating 2027.
Motivated B.Tech Artificial Intelligence & Data Science undergraduate with hands-on experience in developing responsive web applications using React.js, JavaScript, HTML, and CSS. Skilled in building reusable frontend components, implementing client-side routing, state management using Context API, and debugging web applications. Strong understanding of modern frontend development practices, Git/GitHub workflows, and user-centric design principles. Passionate about creating scalable and interactive web solutions while continuously learning emerging technologies.
Chandigarh Group of Colleges, Jhanjeri
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2027
SPS International School, Haryana
Class XII
N/A – May 31, 2023
Northland International School, Haryana
Class X
N/A – May 31, 2021
ByteForget
Python Intern
June 1, 2025 – July 1, 2025
India
Artificial Jewellery E-Commerce Website
June 1, 2026 – Present
Developed a responsive e-commerce web application using React.js with a component-based architecture. Implemented client-side routing using React Router for seamless navigation across Home, Products, Cart, Orders, and Contact pages. Built reusable UI components including Navbar, Footer, Product Cards, Banner, Contact Form, and Product Sections. Managed application state using Context API for shopping cart and order management. Designed and optimized responsive user interfaces using Bootstrap and custom CSS. Improved code maintainability and scalability through reusable components and clean code practices. Debugged and resolved frontend issues to enhance application performance and user experience.
View ProjectFarm Detection System
June 1, 2026 – Present
Developed a farm detection system using computer vision and deep learning techniques for identifying farm-related elements from images. Implemented image preprocessing, feature extraction, and object detection workflows using OpenCV and YOLO. Integrated trained models into a Flask-based application with a React.js frontend for user interaction. Evaluated and optimized model performance under varying lighting and background conditions. Applied machine learning concepts to solve real-world agricultural monitoring challenges.
View ProjectASL Sign Language Gesture Detector
June 1, 2026 – Present
Developed a real-time hand gesture recognition system to interpret American Sign Language (ASL) alphabets using live camera input. Implemented hand landmark detection and feature extraction using MediaPipe and OpenCV. Built a modular pipeline separating data capture, preprocessing, and prediction logic for improved maintainability. Enhanced system robustness by handling lighting variations and partial hand visibility scenarios. Achieved consistent gesture recognition performance across different hand positions and environments.
View ProjectNetwork & Security Foundation (CompTIA Security+)
CompTIA
June 1, 2026 – Present
Neural Networks and Deep Learning
Unknown
June 1, 2026 – Present
AWS Academy Graduate - Data Engineering
AWS Academy
June 1, 2026 – Present
AI Tools & ChatGPT Workshop (be10x)
be10x
June 1, 2026 – Present
AWS Academy Graduate - Generative AI Foundation
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in both web development and AI/ML, indicating a curious and learning-oriented mindset. The personal projects, especially the e-commerce website, show initiative and a practical application of frontend skills. The AI/ML projects, while not directly related to the target React Frontend Engineer role, showcase a breadth of technical interest and problem-solving capabilities. The certifications further support a commitment to continuous learning. This suggests a good cultural fit for an organization that values innovation, continuous learning, and diverse technical interests, even if the primary focus is frontend.
Soft Skills & Operational Fit
The candidate lists problem-solving, adaptability, time management, teamwork, leadership, communication, critical thinking, and accountability as soft skills. These are valuable for operational fit, indicating a potential for collaboration and effective task management. The project descriptions show an ability to work independently on complex tasks, which suggests good self-management. However, without direct interview data, the practical application of these skills in a team setting remains to be validated.