
Software Development Engineer with less than a year in Android, web development, and machine learnin
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering graduate with hands-on experience in Android and web development, and machine learning projects. Seeking internship or entry-level roles to apply programming skills and contribute to real-world software solutions.
APJ Abdul Kalam Technological University (KTU), Kerala
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
National Higher Secondary School, Kolathur
Higher Secondary Education · Computer Science
June 1, 2020 – May 31, 2022
National Higher Secondary School, Kolathur
SSLC
June 1, 2020 – May 31, 2020
ICT Academy of Kerala
Internship Training on Machine Learning and Artificial Intelligence
September 1, 2024 – October 31, 2024
Kozhikode, Kerala, India
Real-Time Bus Tracking App
June 24, 2026 – Present
Developed an Android app using Kotlin and Firebase to track local buses in real time. Implemented route-based search, stop-wise timings, and live driver location updates through GPS integration.
Wellnest Smart Care Companion App
June 24, 2026 – Present
Developed an Android application focused on elderly care and safety. It executes pre-fall movement detection using deep learning for proactive health monitoring.
CampusEats Menu & Rating System
June 24, 2026 – Present
Developed a web application for campus cafeterias where students can view daily menus, rate dishes, and give feedback. Built using HTML, CSS, JavaScript, PHP, and MySQL for dynamic content and data storage.
Library Management System
June 24, 2026 – Present
Created a web-based library management system using HTML, CSS, JavaScript, PHP, and MySQL. Implemented modules for book cataloging, issue/return tracking, and user authentication with an intuitive admin dashboard.
Employee Attrition Prediction
June 24, 2026 – Present
Built a machine learning model to predict employee attrition using Python and scikit-learn during the Internship period. Applied data preprocessing, feature selection, and classification algorithms to analyze workforce retention patterns.
Cultural Fit Analysis
The candidate's projects span mobile development (Android), web development (PHP/MySQL), and machine learning, indicating a broad interest in different technical domains. This diversity suggests an adaptable individual open to various challenges. The academic context of all projects and the internship points to a foundational understanding, aligning with an entry-level or internship role. The listed soft skills like teamwork and communication are positive indicators for collaborative environments.
Soft Skills & Operational Fit
The candidate lists teamwork, adaptability, communication, time management, and problem-solving as soft skills. These are foundational for an SDE role, but their practical application and depth would need to be validated through behavioral interviews. The academic nature of projects suggests a learning-oriented individual, which is positive for operational fit in a junior role.