Detail-oriented Software Engineering student skilled in Python, full-stack development, machine learning, and AI. Experienced in building scalable, reliable applications and applying performance metrics to improve system behavior. Strong collaborator with a focus on clean coding, problem-solving, and delivering user-centric solutions.
Programming: Python, SQL, Java, C, JavaScript
Web: Reactjs, HTML, CSS, REST APIs
ML/AI: PyTorch, NumPy, Pandas, Scikit-Learn, Data Preprocessing
Others: Data Structures & Algorithms, OOP, OS, DBMS
Brain Tumor Detection — Python, PyTorch
• Built CNN model for MRI classification achieving 98.4% accuracy.
• Automated preprocessing and validation for scalable performance.
• Integrated metrics tracking for model optimization.
Smart Security System using ESP-32 — C/C++, Arduino IDE
• Developed IoT-based motion detection system with Wi-Fi alerts.
• Tuned PIR sensors to reduce false positives and improve reliability.
Weather App — React.js
• Developed responsive weather app using OpenWeather REST API.
• Implemented reusable components and Git-based version control.