Varshitha Palakurthi

As a Graduate Teaching Assistant for the Advanced C++ course, I facilitated programming labs, where I guided undergraduate students through complex assignments and coding challenges. My responsibilities also included evaluating student performance through detailed assessments and providing timely feedback to foster their academic growth. This role allowed me to refine my technical skills in C++ while enhancing my ability to communicate complex concepts in an accessible manner.

Redesigned existing features, adhering to agile methodologies, product design principles, and micro-services architecture. Coordinated with cross-functional teams, refactoring code, improve scalability, and enhance user experience for over 100,000 users, demonstrating strong communication and interpersonal skills. Advanced a new search modal feature using React, enhancing user search capabilities and reducing search time by 40%. Incorporated additional data columns into exportable data report by designing complex PostgreSQL queries to connect with back-end using Scala and Java, improving data insights for over 50,000 records and report comprehensiveness by 30%. Managed source code using advanced data structures and Maven for build automation, increasing build efficiency by 1.5x. Authored technical documentation and resolved the issues through a ticketing system, ensuring compliance with industry standards

Designed and executed a cloud-based predictive analytics platform using AWS SageMaker, cutting model training time by 2/5 through automating data preprocessing, advanced feature engineering, and rigorous model evaluation workflows. Harnessed AWS Lambda for real-time data ingestion and processing, enabling automatic scaling, reducing processing time by 50% through serverless execution and event-driven architecture, and ensuring seamless integration with other AWS services. Used AWS DynamoDB for efficient storage and retrieval, optimizing operations, reducing latency and supporting 1TB+ datasets. Created interactive dashboard with AWS QuickSight for the output visualization and AWS CloudWatch for detailed monitoring, and utilized content management techniques to organize and manage digital assets efficiently Streamlined data preprocessing, reducing time from 48 to 6 hours, and improved overall workflow efficiency by 60%, showcasing attention to detail.

Developed the front-end for a web application using AngularJS and Bootstrap, focusing on virtualization and API-driven design, following the MVC architecture and design patterns. Specialized in enhancing website functionality through interactive tables and optimized data processing algorithms, leading to a 20% boost in user satisfaction, and established a feature that redirects table values to a search page with auto-filled fields. Utilized Spring Boot to develop robust backend services and crafted optimized queries in PostgreSQL to efficiently extract and manipulate data, demonstrating a deep understanding of client requirements and proficient bug resolution skills. Applied Root Cause Analysis for effective troubleshooting and leveraged unit and integration testing via Selenium to elevate testing protocols, culminating in a 15% increase in bug resolution. This approach accelerated software validation processes by 25% highlighting experience in automated tests. Participated in 500+ daily stand-ups and 50+ sprint planning meetings, ensuring effective communication and project progression.

Orchestrated the end-to-end comprehensive expansion of the application with Java and AngularJS, significantly enhancing user experience through the implementation of an interactive dashboard which revolutionized data visualization by 40%. This allowed more than 10,000 users to easily interpret and analyze extensive datasets through statistical representations in diverse formats, including charts and graphs ensuring clarity and usability across 25 different factors essential for strategic insights. Crafted PostgreSQL queries and made use of regression analysis to forecast system load for a 35% reduction in response time. Conducted performance testing and optimization, resulting in a 30% improvement in application responsiveness.

Used Python to collect continuous logs from an external device through the UDP protocol, resulting in a 30% improvement in acquisition efficiency. Processed and organized the information into clusters, subsequently saving the cleaned records into files for future analysis, thereby enhancing data management practices.