Chamanthi Pyneni

Summary

Software Developer with hands-on experience designing and building scalable backend and full-stack systems using Java, Spring Boot, and Python.Focused on performance improvement, cloud integration, and database optimization to deliver efficient, maintainable, and user-centric applications. Skilled in developing RESTful APIs, integrating AWS services, and applying Agile practices to build reliable enterprise solutions. Adaptable to new technologies, currently expanding expertise into AI and machine learning through self-driven projects that showcase modern frameworks, cloud platforms, and emerging AI tools. Strong foundation in system design, data handling, and collaborative development that contributes to faster delivery and improved product quality.

Experience

Virtusa – Software Development Engineer

Oct 2022 – Jul 2023 | Remote

Developed and deployed backend modules using Java, improving processing speed by 15% and enabling scalable enterprise functionality.
Built and tested RESTful APIs integrated with SQL databases and internal systems, reducing response latency by 20%.
Implemented unit testing with JUnit, achieving 90%+ code coverage and minimizing QA defects by 10%.
Wrote optimized SQL queries to efficiently manage datasets with over 50,000 records, improving data handling performance.
Participated in Agile ceremonies including sprint planning, stand-ups, and retrospectives within a Scrum team of 6.
Used Git and Bitbucket for version control and peer-reviewed code contributions to maintain high standards.

Smart Internz – Salesforce Developer Intern

Jun 2022 – Sep 2022 | Remote

Built 15+ Apex classes, triggers, and validation rules to streamline workflows and enforce business logic in Salesforce CRM.
Developed 5+ custom Lightning Web Components, enhancing user experience and reducing navigation time by 30%.
Automated 7 business processes using Flows and Process Builder, cutting down manual tasks by over 40%.
Managed and queried large datasets (~10,000+ records) using SOQL and Data Loader tools.
Supported UAT and resolved 10+ bugs before deployment, contributing to a 100% successful release.
Documented 20+ custom configurations and components to ensure smooth maintenance and project continuity

Projects

E-Commerce Product Catalog

Built and deployed a Spring Boot backend for managing 500+ products and 1,000+ customer orders monthly.
Integrated MySQL with Spring Data JPA and REST APIs, cutting query response time by 40%.
Deployed the application on AWS and used CloudWatch for real-time monitoring and logging.
Implemented admin and user modules with secure checkout flow, increasing order processing efficiency by 35%.

University Housing System

Built a Flask web app with MongoDB to manage over 1,200 student room assignments annually.
Implemented a payment prioritization system, decreasing allocation delays by 25% and improving user satisfaction.
Used NoSQL data handling for scalable operations and enhanced administrative processing.

Attendance & Performance Tracker

Created a Spring Boot backend that tracked attendance and marks for over 300 students across 10+ subjects.
Enabled real-time report generation and analytics, reducing manual grading effort by 60%.
Integrated Spring Security for secure teacher/admin login and MySQL for structured data management.

Online Rental House System

Developed a web application to manage rental properties, tenants, and lease agreements.
Implemented features for online bookings, payments, and maintenance requests.
Used PHP,HTML,CSS, JavaScript and MySQL for backend and data management.

Blood & Plasma Donation

Created a system to manage blood and plasma donations, donor registrations, and hospital requests.
Designed and implemented SQL database schema for efficient record keeping.
Developed backend APIs to streamline matching donors and recipients.

Restaurant Management System

Engineered a Java-based restaurant system using synchronized threads to manage 100+ customer orders and seating concurrently.
Reduced table allocation and order wait time by 30% through thread-safe resource sharing and concurrency control.
Maintained 100% data accuracy across threads under peak loads, improving service reliability.

Skin Disease Detection (ML)

Built a CNN-based deep learning model achieving 85% accuracy in skin disease classification.
Integrated image upload functionality to provide real-time diagnostic feedback.
Used Python, TensorFlow, Keras for model development and deployment.

Student Record Management

Built a CRUD application to manage student academic records, attendance, and performance tracking.
Implemented user roles for admins and teachers with secure access controls.
Used PHP, HTML, CSS and MySQL.

Education

University of Central Missouri, USA

M.S. in Computer Science | Aug 2023 – May 2025

Relevant Coursework: Advanced Algorithms, Advanced database, Advanced Operating Systems, Machine Learning, Distributed Systems, Data Science, Statistics, Cloud Computing, Web Development

Vasireddy Venkatadri Institute of Technology, India

B.Tech in Computer Science | Aug 2019 – May 2023

Relevant Coursework: Data Structures and Algorithms, Database Management, Software Engineering, Object Oriented Programming, Computer Networks, Distributed Systems, Artificial intelligence, Web develpment, Advanced java, Machine learning