AKSHITHA BHAVANAM
Hyderabad
Summary
Experienced backend developer with over 2 years of proven experience in Java programming language. Specializes in designing and implementing scalable and efficient microservices, with a primary focus on utilizing the Spring Boot framework. Demonstrates expertise in developing robust and high-performance applications that effectively meet business requirements.
Overview
3
3
years of professional experience
Work History
Product Development Engineer
Phenom People
07.2022 - Current
- Search Enhancements: Designed and implemented advanced search functionalities, improving the user experience and application process efficiency
- Vector Search Implementation: Introduced and integrated vector search techniques, leading to a 24% increase in job applications
- Free Text Search: Developed Free Text Search functionality to enhance user query accuracy and relevancy
- Process Automation Tool: Built a tool with a user-friendly UI to streamline configurations, significantly reducing manual effort and errors
- Cost Optimization: Implemented strategies to optimize external API usage, resulting in a 10% reduction in costs
Product Development Intern
Phenom People
12.2021 - 06.2022
- Hands-On Experience: Gained practical knowledge in Java and Elasticsearch while contributing to real-world projects
- Search Functionality: Assisted in developing and testing search features, ensuring robust and accurate results
- Code Quality Improvements: Resolved code quality issues by addressing SonarQube and Checkstyle warnings
Education
B.Tech - Computer Science and Engineering
Jawaharlal Nehru Technological University College of Engineering
06-2022
Skills
- Java
- Python
- Elasticsearch
- Vector Search
- MongoDB
- MySQL
- Kafka
- Spring Boot
- Jersey
- JUnit
- Mockito
- Data Structures and Algorithms
- Object-Oriented Programming
- Design Patterns
- AWS
University Projects
- Traffic Sign Recognition: Developed a system using machine learning techniques to recognize traffic signs in real-time. The system utilized convolutional neural networks (CNNs) to classify traffic signs with high accuracy, improving road safety and aiding autonomous vehicles.
- Object Detection: Implemented an object detection system to identify and track various objects in dynamic environments. Leveraged computer vision algorithms and deep learning frameworks to ensure real-time processing and reliable results.
Timeline
Product Development Engineer
Phenom People
07.2022 - Current
Product Development Intern
Phenom People
12.2021 - 06.2022
B.Tech - Computer Science and Engineering
Jawaharlal Nehru Technological University College of Engineering
Similar Profiles
Rajashekar BhoopathiRajashekar Bhoopathi
Sales Development Representative at Phenom PeopleSales Development Representative at Phenom People
Preeti VijhPreeti Vijh
Principal Technical Program Manager at Phenom PeoplePrincipal Technical Program Manager at Phenom People
Nyoka TolerNyoka Toler
Senior Director, Global Delivery at Phenom PeopleSenior Director, Global Delivery at Phenom People