Bheemudu Avula
Hyderabad
Summary
Experienced Java Developer with focus on backend development, bringing 3 years of expertise in creating robust and scalable solutions. Proficient in a range of technologies and methodologies crucial for building high-performance backend systems.
Overview
3
3
years of professional experience
Work History
Software Engineer
Ivy Comptech
11.2021 - Current
- Collaborated with frontend developers, game designers, and QA engineers to deliver new features and enhancements, resulting in a 20 % increase in player satisfaction scores based on user feedback and reviews.
- Developed reusable components that significantly reduced development effort on multiple projects.
- Consistently met project deadlines by effectively managing time and prioritizing tasks according to importance.
- Implemented database indexing strategies and query optimizations resulting in a 20 % reduction in average query execution time, leading to faster response times for casino game backend services.
- Developed and deployed new features and enhancements to the frontend UI using JSP and API integration, leading to a 15 % increase in player engagement metrics such as daily active users and session durations.
- Automated deployment workflows using Jenkins and Putty, reducing deployment time by 50 % and minimizing human errors, resulting in faster feature rollouts and improved overall development efficiency.
Education
BTech -
Gurunanak Institute of Technology
12.2020
Intermediate -
Prathibha Junior College
04.2016
SSC -
Sri Vyshnavi Techno High School
04.2014
Skills
- Java
- Microservices
- Spring Boot
- Spring
- JDBC
- Postgresql
- Hibernate
- Rest
- MySQL
- Oracle Database
- HTML5
- CSS
- JavaScript
- Eclipse
- IntelliJ
- Jira
- Jenkins
- Putty
- Git lab
- Tortoise SVN
- Maven
- Gradle
- C
Languages
English Proficient
Telugu Native
Hindi Proficient
Accomplishments
- Developed a machine learning-based system to detect and classifyemotions from text and facial images.
- Implemented a convolutional neural network (CNN) for facial emotionrecognition, achieving high accuracy in identifying emotions likehappiness, sadness, and anger.
- Utilized natural language processing (NLP) techniques with librariessuch as NLTK and TextBlob for sentiment analysis on textual data.
- Enhanced model performance through hyperparameter tuning anddata augmentation, improving accuracy and robustness.
- Created a user-friendly interface with Tkinter for real-time emotionanalysis and deployed the system using Flask for web access.
Emotion Detection System
Timeline
Software Engineer
Ivy Comptech
11.2021 - Current
Intermediate -
Prathibha Junior College
SSC -
Sri Vyshnavi Techno High School
BTech -
Gurunanak Institute of Technology
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