Prabhu nithin Gollapudi

Tsinghua University Research Topic: Accurate Robot Control and Kinematic Calibration • Achieved 1.0 mm position accuracy on 6R surgical robot through DH parameter calibration using Python, MATLAB • Developed 3D point clouds in Python - JIT for reachability analysis, reducing planning time from 6 seconds to 300ms

• Architected a scalable Data Lake on AWS S3 using Python and Docker, automating the ingestion of 1M+ records daily via cron-scheduled ETL services to power downstream Machine Learning pipelines • Enhanced software reliability by 70% by integrating SonarQube and SBOM generation into GitLab CI/CD • Conducted Proof of Concepts (quality and performance) evaluating Apache Druid and InfluxDB for time-series data storage and retrieval in AWS, explored Apache Spark based solutions for data handling

During my 2-year tenure as a Java full stack developer, I: • Designed and developed data-centric web applications in Angular 2+ and Spring Boot • Roles and Responsibilities: UI development, API design, Git management, log monitoring, production support, application monitoring. • Tools & technologies: Angular (1.x and 2.x), Java (8, 11 and 17), Spring Boot (2.x and 3.x), Microservices, Eclipse (Spring Tool Suite), GIT (Bitbucket), SQL Developer, Postman, Dynatrace, Elk, Jira, and Confluence.

In my role as a contractor, I provided support to the Cotiviti projects by accomplishing the following: • Developed CRUD based features using REST API calls, including forms, Excel export, UI grid display, async edits, and file saving. Implemented automation for email notifications based on user roles, significantly reducing manual intervention by 99%. • Tools and technologies: Angular (1.x), Java (8), Spring MVC, Eclipse (Spring Tool Suite), GIT (Bitbucket), SQL Developer, Postman, Jira, and Confluence.

GPA : 1.3 Relevant Coursework: AI, Advanced Deep Learning (Numpy, PyTorch), ML, Time Series, Semantic Web (OWL), Knowledge Management, Advanced Data Engineering