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Full Stack Engineer with 1+ years in Java, React.js & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and adaptable professional with hands-on experience in Java Full Stack Development, data analysis, and problem-solving. Open to opportunities in software development, data analytics, technical support, and any role that allows continuous learning and contribution to organizational growth.
M.A.M College of Engineering
B.Tech · Artificial Intelligence and Data Science
June 1, 2021 – August 1, 2025
Sevai Shanthi Matric Higher secondary school
HSC
July 1, 2020 – March 1, 2021
Sevai Shanthi Matric Higher secondary school
SSLC
June 1, 2018 – March 1, 2019
Infilabs Technology
Machine Learning Intern
July 1, 2024 – Present
Tiruchirappalli, Tamil Nadu, India
E-Commerce Website
June 28, 2026 – Present
Developed an online store with user authentication and payment gateway. Enabled product listing, cart management, and admin dashboard. Optimized backend queries to reduce API response time by 5%.
Smart Tourism Web Application
June 28, 2026 – Present
Built a full-stack tourism platform to explore destinations and plan trips. Created RESTful APIs in Spring Boot and dynamic UI in React. Used MongoDB to manage destination data and user profiles.
Cultural Fit Analysis
The candidate's projects are personal and demonstrate initiative in learning full-stack development. The internship in Machine Learning shows a breadth of interest beyond core full-stack, which could indicate adaptability. The target role is Full Stack Engineer, and the projects align well with this. However, the experience level is low (1), suggesting a junior profile, which might not be a direct fit for a senior role without significant upskilling.
Soft Skills & Operational Fit
The candidate lists communication, team collaboration, problem-solving, and time management as soft skills. Project descriptions indicate some problem-solving (optimizing backend queries) and time management (implied by project completion). However, there is no direct evidence of team collaboration or advanced communication in the provided data.