Harshitha R. Email & Phone Number

Little Elm, Tx, Us

San Marcos, Texas, United States

I integrated an advanced real-time mineral data collection and identification system using OpenCV 4.7, Python 3.8, and a custom CNN model. I also developed image capturing and storage functionalities leveraging a Baumer camera and neoAPI, achieving a processing speed of 30 frames per second. Additionally, I created RESTful APIs, optimized PostgreSQL queries, reduced data retrieval time by 25%, and designed a responsive UI for real-time data visualization. Furthermore, I reduced data processing time by 30% with AWS Lambda, collaborated with cross-functional teams, implemented comprehensive unit tests, and established a CI/CD pipeline using Jenkins and Docker. Apache Kafka was utilized for usage patterns, real-time data visualization, and mineral concentration trends.

Bengaluru, Karnataka, India

• Experience in utilizing Java/J2EE technologies to enhance client-server applications, developing cloud-based platforms, and working with AWS Lambda. • Worked with UI frameworks such as Angular.js, React.js, and Bootstrap to design and develop interactive web applications.• Additionally, have experience in developing REST APIs using Spring Boot and hosted Micro Services, as well as working with APIGEE Edge and developing customized policies for token security. • Collaborated with cross-functional teams to design and implement secure authentication mechanisms for web services and has implemented a streamlined data integration process using JSON documents with dynamic schemas in MongoDB database. • Implemented CI/CD pipeline as code using Jenkins and developed build and deployment scripts using Maven as the build tool.

• Designed and implemented a user-friendly chatbot UI using ReactJS, Vue.js, and JavaScript frameworks enabling multi-platform integration like websites, mobile apps, and kiosks.• Utilized Java 8 streams and lambda expressions for concise and efficient data manipulation. • Leveraged Spring MVC architecture for clear separation of concerns and a maintainable codebase. • Employed efficient data caching and query optimization techniques, resulting in a 25% reduction in API response time.• Implemented JWT-based authentication and RESTful APIs using Spring Security, ensuring secure access with minimal performance overhead.• Employed JSON and AJAX for efficient data exchange between front-end and back-end, maintaining data consistency and user flow across platforms.• Employed continuous integration and continuous delivery (CI/CD) pipeline with Jenkins for automated builds, tests, and deployments ensuring code quality and rapid delivery.• Developed and executed automated unit tests using JUnit and Selenium, ensuring 85% code coverage, minimizing bugs, and improving code reliability.

Bengaluru, Karnataka, India

• Developed and executed a comprehensive algorithm for vehicle detection, tracking, and counting in real-time for traffic surveillance leveraging Raspberry Pi 4, Open CV, and Python, resulting in increased accuracy by 20%.• Implemented machine learning techniques to train the model on a dataset of 10,000 images, achieving an average precision of 95% in identifying vehicles.• Collaborated with a team of engineers to integrate the vehicle detection system into an existing traffic surveillance system, reducing false positive rates by 15% and improving overall system efficiency.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Electronics And Communications Engineering