Entry-level Software Developer with Python, Django & Node.js skills for web development.
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Assessing your cultural and operational fit
Motivated and quick-learning B. Tech Computer Science graduate with foundational knowledge in programming, computer systems, and software development concepts. Familiar with academic projects and basic technical tools. Strong problem-solving ability, teamwork, and communication skills. Seeking an entry-level opportunity in Software Development, Technical Support, IT Support, or Computer Science related roles to build professional experience and contribute effectively.
Mount Zion College of Engineering, Kadammanitta, Pathanamthitta
B. Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Fake Logo Detection and Cyberbullying Detection
January 1, 2026 – Present
Developed an integrated web-based system for detecting fake brand logos and identifying cyberbullying content. Used Python and Django framework with machine learning concepts for image and text analysis. Improved online safety and brand protection with detection features.
Green Earn Waste Management System
January 1, 2026 – Present
Developed a waste management system to encourage proper waste disposal and recycling practices. Used Node.js, Express.js, and PostgreSQL for development and database management. Implemented file upload functionality using Multer in the project.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications, from cybersecurity (fake logo/cyberbullying detection) to environmental solutions (waste management). This breadth suggests an openness to different problem domains. However, the experience level is entry-level, which might require significant mentorship and integration into a senior team's workflow. The target role is 'Python Developer', and the projects align with this, indicating a focused career interest.
Soft Skills & Operational Fit
The candidate highlights communication, teamwork, time management, problem-solving, adaptability, and attention to detail as soft skills. These are generally positive for operational fit, but their practical application and depth would need to be validated through interviews.