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Software Engineer with less than a year in AI & Android Development
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Assessing your cultural and operational fit
Motivated Computer Science Engineering graduate with hands-on experience in Java, Python, Kotlin, and Generative AI. Proven ability to build Android applications, AI-powered service agents, and IoT-based systems. Adept at applying programming and analytical skills to solve real-world problems in dynamic environments.
RajaRajeswari College of Engineering
Bachelor of Engineering · Computer Science
November 1, 2023 – June 1, 2026
Government Polytechnic
Diploma in Engineering
August 1, 2020 – June 1, 2023
Mindmatrix
Software Developer Intern
February 1, 2026 – Present
Bengaluru, Karnataka, India
Namma Yantra Share App
January 1, 2026 – April 1, 2026
• Designed and developed a community-based agricultural equipment sharing mobile application. • Enabled farmers to list, discover, and book farm machinery locally, reducing equipment costs by up to 40%. • Implemented real-time availability tracking and booking system using Firebase Realtime Database. • Built a clean, intuitive UI with Jetpack Compose ensuring accessibility for rural users with limited tech exposure. • Integrated geo-location features to show nearby available equipment and streamline logistics.
Waste Classification using IoT and Machine Learning
August 1, 2025 – November 1, 2025
• Implemented a real-time waste classification system using IoT sensors and ML models. • Automated waste segregation into recyclable and non-recyclable categories, reducing manual effort significantly. • Improved waste management efficiency and supported sustainable practices through intelligent classification.
IoT-Based LPG Gas Leakage Detection System
July 1, 2024 – November 1, 2024
• Developed a gas leakage detection system with digital display for real-time monitoring. • Engineered automated SMS/alert notifications to users upon detection of dangerous gas levels. • Delivered a safety-critical system emphasizing reliability and immediate response capability.
BullyNet - Cyberbullying Detection on Social Networks
May 1, 2023 – July 1, 2023
• Built a detection system to identify and unmask cyberbully activities on social media platforms. • Analyzed network behavior to flag malicious and unwanted users using pattern recognition techniques. • Contributed to safer online communities by enabling proactive identification of harmful accounts.
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest in applying technology to solve societal problems (e.g., Namma Yantra Share App, BullyNet, Waste Classification). This indicates a potential cultural fit for organizations valuing impact-driven development and innovation. The breadth of technologies explored (mobile, AI, IoT) suggests adaptability and a continuous learning mindset. The current internship at Mindmatrix further solidifies their commitment to professional growth in software development.
Soft Skills & Operational Fit
The candidate demonstrates initiative through diverse personal projects and an internship, indicating a proactive approach to learning and problem-solving. Collaboration skills are mentioned in the internship description (GitHub), suggesting an ability to work in a team. The project descriptions show an understanding of user needs and practical application of technology, which aligns with operational fit for a software engineering role.