DEVA MUNIKANTA REDDY ATTURU
Melbourne,FL
Summary
Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Software Developer position. Ready to help team achieve company goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. Experienced Developer with almost two years of experience in creating programs based on specific requirements. Adaptable, diligent and knowledgeable in Python, Java.
Overview
1
1
year of professional experience
8
8
Certifications
Work History
Developer - L1
Wipro
07.2021 - 12.2022
- Tested programs and databases to identify issues and make necessary modifications.
- Designed, developed, and implemented software applications for website based on analyzed requirements and understanding of industry technical standards.
- Discussed issues with team members to provide resolution and apply best practices.
- Updated old code bases to modern development standards, improving functionality.
- Debugged complex software issues, leading to a more stable product release.
- Automated repetitive tasks through scripting, freeing up valuable time for higher-priority projects.
- Optimized database structures for efficient data storage and retrieval.
- Translated customer requirements into written use cases.
Education
Master of Science - Computer Science
Florida Institute of Technology
Melbourne, FL05.2024
Bachelor of Technology - Computer Science And Engineering
Siddharth Institute of Engineering & Technology
Tirupati, APSkills
Datacom Basics
Networking
Python Programming
Sql
Git
Gerrit
Linux Environments
Basics of Java
Data Structures
Artificial Intelligence
Deep Learning
Front-End Development
JIRA
Accomplishments
- Won Prathibha Award for Academics in 10th Standard.
- Received Academic Topper Award in Bachelor's.
Certification
Python Programming certified by APSSDC.
Thesis Project
Deep Learning In Indus Valley Script Digitization.
Developed ASR-net, a system for automatically digitizing ancient Indus script with a 95% symbol recognition rate. ASR-net utilizes deep learning techniques to encode Indus Valley Seals and proposes a novel research challenge for identifying recurring motifs with potential cultural significance.
Timeline
Developer - L1
Wipro
07.2021 - 12.2022
Master of Science - Computer Science
Florida Institute of Technology
Bachelor of Technology - Computer Science And Engineering
Siddharth Institute of Engineering & Technology