Accomplished computer science professional with expertise in machine learning, deep learning, and IoT.
Developed innovative projects like an IoT-based wearable safety device for women, and The Smart Device for Early Screening of OSMF.
Strong academic background and diverse research experience.
Proficient in problem-solving, critical thinking, and project management.
Passionate about creating socially impactful, user-friendly solutions and poised to drive industry-leading innovations as a future technology leader.
V-Safe-Anywhere
Tech Stack: Flutter, Firebase, APIs, Google Cloud
- Engineered an IoT-based wearable safety device for women with a Flutter cross-platform mobile app.
- Implemented Firebase for real-time data synchronization and user authentication.
- Published a research paper and detailed documentation on device architecture and functionality.
Autonomous Floating Garbage Collection Device
Tech Stack: Machine Learning, Python, IoT
- Designed a system for detecting and retrieving floating water waste using ML and IoT technologies.
- Presented at an international conference, published a peer-reviewed paper, and open-sourced the code on GitHub.
Smart Device for Early Screening of OSMF
Tech Stack: Android, Firebase, APIs, JavaScript
- Developed a biomedical device and companion Android app (OCanPredict) for OSMF screening.
- Implemented RESTful APIs and Firebase for device-app communication and data management.
- Received multiple national and state-level awards for innovation and originality.
Seven: Choose to Print Application
Tech Stack: Flutter, UI/UX, Firestore
- Developed the 'Seven: Choose to Print' Flutter app, including UI and Firebase integration for user authentication and data storage.
- Managed the entire development process, ensuring successful project completion.
