Software Developer at AutoRABIT with 2+ years of experience building backend services using Java, Spring Boot, REST APIs, and AWS. Currently expanding my expertise in Machine Learning and Artificial Intelligence, with a focus on Python, data analysis, and practical ML applications. Interested in connecting with developers, AI/ML practitioners, and teams building intelligent, data-driven solutions.
Software Development Engineer
AutoRabit
- Develop and maintain backend services for the nCino product using Java, Spring Boot, REST APIs, DynamoDB, and AWS, supporting Salesforce data deployments, approval workflows, and customer requirements.
- Designed and implemented rollback functionality for Salesforce data deployments, including data extraction, CSV backup generation, Amazon S3 storage, and restoration of previously deployed data.
- Extended rollback capabilities to support selective restoration at template and organization levels, enabling targeted recovery without reverting an entire deployment.
- Enhanced Salesforce Bulk API integration by processing API responses and transforming returned data into the application's internal data model.
- Integrated GitHub, GitLab, and Azure DevOps webhook workflows to trigger jobs automatically on new commits; also implemented selective field commits and incremental template-to-version-control updates.
- Investigated a production performance issue using application logs and optimized processing logic, reducing loop iterations by approximately 60–70%.
- Contribute to technical solution research, implementation design, effort estimation, backend development, testing, code reviews, production troubleshooting, customer support, and releases.
Junior Software Engineer (Intern)
AutoRabit
- Collaborated with a cross-functional team of backend developers, UI developers, and product team members while learning Salesforce workflows, Git-based development, product architecture, and Spring Boot.
- Contributed to Salesforce/nCino deployment rollback functionality, internal bug fixes, and product enhancements.
B.Tech in Computer Science and Engineering
CMR College of Engineering and Technology · 8.5 CGPA
B.Tech Honors in Computer Science and Engineering
CMR College of Engineering and Technology · 20/20 Credits
Intermediate
Narayana Jr College · 9.68 CGPA
Amazon Machine Learning Summer School
Amazon
Jun 2022CodeClause: Internship Completion Letter
Code Clause
Feb 2023
Attendee · Oct 24, 2026