Software Developer

Bharathi Erla

+1-732-***-**** ************@*****.*** https://www.linkedin.com/in/BharathiErla/

SUMMARY

Experienced Application Developer with 2+ years of Expertise in microservices architecture, backend development, and cloud integration (AWS, Azure, GCP). Skilled in delivering robust and efficient software solutions. EDUCATION

University of Cincinnati, Masters in Information Technology Aug 2023 – Dec 2024 Courses: Cloud Computing, Cybersecurity, Database Management Systems, Research Methods GPA:3.9/4.0 Vignans’ Nirula Engineering and Technology, Bachelor of Technology in Computer Science Aug 2016 – Jul 2020 Courses: Computer Networks, Operating Systems, Data Structures, Compiler Design, Database Systems, Artificial Intelligence GPA:7.3/10 SKILLS SUMMARY

Languages: Java, JavaScript, Python, HTML/CSS

Databases: MySQL, MongoDB, SQL, PL/SQL

Cloud Services and Tools: AWS, GCP, Kubernetes, Azure Tools/Frameworks/others: Docker, Maven, Git, Jenkins, Postman, Swagger, GraphQL, JUnit, Django, Spring, CI/CD, Agile (Scrum), Jira, JSON, YAML WORK EXPERIENCE

Accenture

Application Development Analyst Jul 2022 – Aug 2023

• Business Logic Development: Designed and implemented business logic in the service layer using Spring Data JPA, increasing data access efficiency by 25%.

• REST API Development: Built and maintained RESTful APIs with Spring Boot, improving response times by 30% and reducing client issues by 20%.

• Cloud Integration: Integrated services with AWS, Azure, and GCP, achieving 40% scalability improvements and handling increased traffic by 35%.

• Asynchronous Communication: Leveraged KubeMQ for asynchronous messaging, reducing processing delays by 30%.

• Database Management: Optimized PostgreSQL schemas and queries for microservices, improving data retrieval speeds by 35% and boosting system performance by 30%.

• Deployments: Led deployment of services, ensuring 99.9% system uptime. Monitored and resolved post-deployment issues to maintain performance standards.

• API Optimization: Improved REST API performance and streamlined AWS S3 API operations, enhancing response times by 25% and application efficiency by 30%.

Accenture

Application Development Associate Dec 2020 – Jul 2022

• Application Security Platform: Developed a platform for vulnerability assessments, reducing reported vulnerabilities by 30%.

• Backend Development: Engineered scalable backend components using Python and Django, improving backend processing efficiency by 25%.

• Database Integration: Integrated NoSQL (MongoDB) and SQL databases, enhancing query performance by 40% and improving data security by 20%.

• Version Control and CI/CD Pipelines: Utilized Git for version control and managed CI/CD pipelines with Jenkins, improving deployment efficiency by 35% and reducing integration errors by 25%.

• Microservice Testing and Documentation: Developed 300+ unit tests using Python and Django frameworks for backend services. Created comprehensive API documentation, reducing bugs by 60% and enhancing API usability for internal teams and external clients.

• Unit Testing and Bug Fixes: Achieved 95%-unit test coverage, improving code reliability and reducing system failures by 30%. PROJECTS

• Vehicle Number Plate Recognition System: Engineered an integrated parking lot security solution using image processing technology and machine learning with PyTorch and Python. Developed a number plate recognition system to detect and store car number plates in a database. Created a web interface using HTTPS protocols, serving over 500 users without inconvenience, significantly enhancing security.

• Chat Bot Interaction: Developed an application using data science modules, machine learning, and pip, python technologies to serve as a help desk for an IT company. Employees can raise software requests through an interactive chatbot, reducing request processing time by 50% and improving response accuracy by 40%.

EXTRACURRICULARS

• As a Teaching Assistant with Smart Interviews Group, I instructed 60 students in mastering efficient problem-solving through data structures and algorithms, emphasizing reduced time complexity.

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