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Software Engineer with less than a year in AI/ML & Web Development.
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Assessing your cultural and operational fit
Aspiring Software Engineer and curious learner with a passion for problem-solving and teamwork. Possessing a solid foundation in Information Science Engineering, I bring hands-on experience in developing software solutions for event management, building job portals with advanced backend functionality, and creating deep learning-based fake news classification systems. My skills span programming languages like C and Python, and technologies such as Android Studio, Visual Studio, SQLite, and Scikit-learn. I am dedicated to improving efficiency and delivering impactful technological solutions.
GSSS Institute of Engineering & Technology for Women, Mysuru (VTU)
Bachelor of Engineering · Information Science Engineering
N/A – June 30, 2025
Government PU College for Boys, Nanjangud
Pre-University Course
N/A – Present
Sri Maddaneshwara English Medium School, Gundlupet
10th Grade
N/A – Present
MYCEM College
Assistant Professor
August 1, 2025 – January 1, 2026
Mysore, Karnataka, India
IVIS Labs
Data Science Intern
January 1, 2025 – May 1, 2025
Mysore, Karnataka, India
College Event Management System
June 21, 2026 – Present
Developed a user-friendly software solution to efficiently manage college event logistics including scheduling, registration, and budgeting. Implemented role-based access for participants and automated resource allocation. Result: Improved event coordination efficiency by 60%.
Online Job Portal using Django
June 21, 2026 – Present
Designed and developed a job portal with login/signup, resume uploads, and job search & filtering features. Enhanced backend functionality with resume parsing and job relevance matching. Result: Enabled 100+ mock users to successfully perform job searches and applications during simulations.
Deep Learning-Based Fake News Classification with Android App
June 21, 2026 – Present
Built a fake news classification system using Machine Learning and NLP techniques. Preprocessed datasets and extracted features using Scikit-learn to achieve high classification accuracy. Integrated the model with an Android application using Java and SQLite, enabling real-time news access, bookmarking, and user customization. Result: Delivered a mobile-based solution to detect and consume reliable news content.
Salesforce Developer Virtual Internship
Salesforce
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies (Django, Android, ML/NLP). The internship and teaching experience show an ability to collaborate and contribute to different environments. The breadth of skills and project types indicates adaptability and a willingness to explore various technical domains, which aligns with a dynamic engineering culture. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's experience as an Assistant Professor and Data Science Intern suggests developing communication, leadership, teamwork, and problem-solving skills. These are valuable for operational fit in a team-oriented software engineering role. The academic projects also indicate an ability to work independently and deliver functional solutions.