BHOOMIKA BOYINA

• Diligent Software Engineering Intern familiar with helping create detailed application codes and design. Extensive collaboration with developers to draft and test programs for in-field rollout. Deep knowledge of Java and Git development environments to standardize and customize deployments. Offers specialized talent for generating automation frameworks and procedures.
• Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
• Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
• To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
• Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

• AI and ML Certification, Bodha Software, 2022
• Cloud computing and Python, NPTEL online certification, 2022
• Certified in Advanced Programming, Ramson Tech Labs, 2021

• Technical and non-technical quiz, JNTUK, 2023
• QR code generated for department events, VKR VNB & AGK Engineering College, 2022

Health and Fitness Tracking Application, ( University Project 2024). 

• Developing a web application that allows users to track their health and fitness goals, including features like workout tracking, meal planning, calorie counting, and progress visualization.
• Integrating with wearable devices or fitness trackers for automatic data synchronization.

Image Caption Generation Using LSTM and CNN, 06/2023. 

• Python based model where we built an image caption generator using CNN and LSTM.
• Loaded the image as an input and the model delivered the caption as the output. Used deep learning techniques to develop the model.
• The features are extracted using Convolutional Neural Network (CNN) with Visual Geometry Group (VGG-16) model.

Live Video Surveillance, 07/2022.

• Developed a code where we can see the live video.
• Built the code using Python and open CV. To capture video we created Video Capture Object.
• We can capture video frame by frame.

News Article Summary, 04/2022,

• Python based project where news summarization and translation are done using NLP.
• We converted an abstractive text summarization dataset into extractive one.
• We trained a deep learning model to perform extractive text summarization.