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Full Stack Engineer with less than a year in MERN Stack Development
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate with hands-on experience in full-stack web development using the MERN stack (MongoDB, Express.js, React.js, Node.js). Proficient in JavaScript, SQL, HTML, and CSS with experience building scalable web applications, RESTful APIs, and database-driven systems. Developed projects including a Sales CRM application with features such as lead management, order tracking, and real-time dashboards. Strong problem-solving abilities, solid understanding of software development principles, and experience using Git and modern development tools. Seeking an entry-level software developer role to build reliable, scalable applications and contribute to impactful software solutions.
SCMS School Of Engineering And Technology
Bachelor of Engineering · Computer Science
August 1, 2021 – June 30, 2025
Bharatiya Vidya Bhavan Senior Secondary School
Class 12
June 1, 2020 – May 31, 2021
Techolas Technologies
Frontend Developer Intern (Live Project)
December 1, 2025 – Present
India
Techolas Technologies
MERN Stack Developer Intern
July 1, 2025 – February 1, 2026
India
Sales CRM
February 1, 2026 – June 1, 2026
Developed a full-stack Sales CRM application to manage leads, customers, orders, and follow-ups using React.js for the frontend and Node.js/Express.js for backend APIs. Implemented JWT-based authentication and Role-Based Access Control (RBAC) to secure admin and staff operations across the application. Designed MongoDB database schemas using Mongoose to efficiently store and manage customer records, sales orders, and follow-up data. Integrated real-time updates using Socket.io to notify users about lead status changes, follow-ups, and order updates instantly. Built an analytics dashboard with Recharts to visualize key business metrics such as revenue trends, lead conversions, and order statistics.
Campus Air Quality Prediction System
April 1, 2025 – April 1, 2025
Built an IoT-based system using Arduino to monitor and collect real-time air quality data across different campus locations. Integrated environmental sensors (MQ131, MQ-9, MQ-137) to detect multiple gas pollutants and record atmospheric conditions. Created and processed a dataset of 2,000+ sensor readings using Python, Pandas, and NumPy for data cleaning and feature preparation. Trained Machine Learning models including Random Forest and Gradient Boosting Regressor to predict Air Quality Index (AQI). Developed a visualization dashboard to display gas levels and AQI trends for easier environmental monitoring and analysis.
SHOPSWIFT – Grocery Listing Website
April 1, 2024 – April 1, 2024
Developed a grocery listing web application that allows users to browse products, compare prices, and view nearby grocery stores. Designed a responsive user interface using HTML, CSS, and JavaScript to ensure compatibility across desktop and mobile devices. Built backend functionality using Node.js to handle user authentication, product listings, and order-related operations. Designed and implemented a MySQL database to store product information, user details, and order records. Implemented features such as store locator, product search, and price comparison to improve the shopping experience.
Cultural Fit Analysis
The candidate's project diversity, ranging from a full-stack CRM to an IoT-based air quality system and a grocery listing website, indicates a broad interest in technology and a proactive approach to learning. The MERN stack focus aligns well with a Full Stack Engineer role. The internships at Techolas Technologies, particularly the 'Frontend Developer Intern (Live Project)', suggest experience in a team environment and working on real-world applications, which is a good indicator of cultural fit for a collaborative development setting.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, communication, adaptability, time management, and quick learning as soft skills. These are generally positive for operational fit. The project descriptions show collaboration (e.g., 'Collaborated with backend developers') and problem-solving in implementing complex features. However, without direct assessment, the depth of these skills cannot be fully validated.