Software Engineer with less than a year in AI/ML & Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.