Kavya Dubbaka

Dynamic software engineer skilled in Python, Java, and C#, with experience in building scalable web applications using React, FastAPI, Django, and Spring Boot. Proficient in database systems (MySQL, MongoDB, Oracle) and automation tools (GitLab, Jenkins, Selenium). Recognized for optimizing performance, securing applications, and leading digital transformation initiatives. Experienced in Agile/Scrum, CI/CD workflows, and full-stack development across platforms like Windows, Linux, and Android.

• Front-End UI Development with React Certification by Hong Kong University of Science and Technology.
• Oracle Database Design and Programming with SQL Certification.
• Attended a Machine learning workshop conducted by IIT-Kharagpur.
• Attended a workshop on Recent Trends on Big Data Analytics.

• Heart Abnormality Detection: Application to detect heart abnormalities using ECG data via Classification and Regression Trees. Responsibilities:Preprocessed ECG datasets and extracted relevant time-series features. Implemented decision tree and random forest classifiers for anomaly detection. Evaluated model performance using accuracy, F1-score, and ROC curves.
• Timetable Management System: Time table management tool for automated schedule generation for students and faculty. Responsibilities:Developed scheduling logic using greedy and constraint satisfaction algorithms. Built a Java-based UI for role-based login and admin management. Enabled auto-allocation and reorganization of class and exam schedules.
• College Forum: Forum platform for anonymous interactions between students and teachers. Responsibilities:Built frontend in HTML/CSS and JavaScript with PHP backend and MySQL DB. Enabled anonymous login, posting, and moderation features. Implemented sentiment-based flagging system to monitor inappropriate content.
• Restaurant Menu App: React-based capstone project mimicking real-world restaurant menu operations. Responsibilities:Designed modular React components with props/state for dynamic menu rendering. Integrated Redux for cart and order state management. Validated inputs and implemented form-based ordering and feedback system.
• Malware Detection using Deep Learning: Built CNN model to detect malware by analyzing byte-to-image converted files. Responsibilities:Converted .bytes malware files into grayscale image datasets. Designed and trained CNN using TensorFlow/Keras for classification. Integrated FastAPI backend and React frontend for real-time file scanning.
• Account Management System: Secure web app for managing app accounts and GitLab token registration. Responsibilities:Built login UI with LDAP and OAuth2 authentication using React + Tailwind. Developed FastAPI services for server info and account CRUD with SQLAlchemy. Added role-based access control, audit logging, and password expiry alerts.
• Stock Price Prediction with LSTM: Forecasted future stock prices using LSTM neural networks. Responsibilities:Preprocessed historical price data and normalized time series. Designed LSTM model using Keras to capture temporal dependencies. Visualized trends and prediction accuracy using matplotlib and seaborn.