Fullstack Engineer with 1+ years in MERN Stack & JavaFX Development
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Full Stack Developer Intern with 1.2 years of experience in developing robust applications using MERN stack and JavaFX. Proficient in creating scalable solutions, integrating databases like MySQL, and implementing secure authentication. Adept at applying Deep Learning and Natural Language Processing techniques for predictive analytics.
Ramco Institute of Technology
B.E Computer Science and Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Blood Donation Management System - Full Stack
January 1, 2025 – Present
Developed a MERN stack Blood Donation Management System to connect donors, recipients, and administrators, enabling efficient blood stock tracking, donor search by location, and streamlined blood request management. Implemented secure authentication with JWT tokens, bcrypt-based password hashing, and role-based access control, enhancing data privacy and system security by 90%. Integrated real-time donor matching, inventory monitoring with low stock alerts, and event scheduling for blood donation camps, improving emergency response efficiency by 35%.
PROSPER-DL: Predicting Product Success Rating using Deep Learning – AIML
January 1, 2025 – Present
Implemented Natural Language Processing (NLP) techniques including text preprocessing, feature extraction, and VADER-based sentiment analysis to convert unstructured review data into meaningful numerical representations. Designed a Deep Feedforward Neural Network (DFFNN) model with multiple hidden layers, ReLU activation, and regression output to accurately predict product ratings on a 1–5 scale. Applied feature fusion techniques to combine technical specifications (RAM, processor, price) with customer-centric attributes (performance, battery, build quality), improving prediction accuracy and interpretability. Built a three-phase prediction framework (specification-based, review-based, hybrid model) enabling both pre-launch evaluation and post-launch analysis of products.
Google Cloud Certifications
June 1, 2026 – Present
Full Stack Development
Udemy
June 1, 2026 – Present
Fundamentals of Computer Network
Infosys SpringBoard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows initiative through participation in hackathons and online courses, indicating a willingness to learn and engage with new technologies. The project diversity (full-stack web, desktop, AI/ML) suggests adaptability and a broad interest in different technical domains. The target role of 'Fullstack Engineer' aligns well with the MERN stack and JavaFX experience. However, the academic nature of most projects and lack of professional experience beyond a single internship means cultural fit in a fast-paced, senior-level corporate environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured projects and implement specific technical features. The internship experience suggests an understanding of operational efficiency improvements and user-centric development. However, there is insufficient data to assess advanced soft skills like leadership, complex problem-solving under pressure, or cross-functional collaboration.