C.Rohith

Led the development and maintenance of robust data integration solutions, API services, and transformation logic for eCommerce and ERP systems.

• Developed and maintained 5+ data transformation scripts using Hotglue (iPaaS) to integrate platforms like Shopify and BigQuery, enabling real-time data sync for over 50k+ records/day.
• Built custom Java (Spring Boot) connectors and RESTful APIs, ensuring high reliability and fault tolerance for external API and webhook integrations.
• Optimized transformation logic, reducing data sync latency by up to 40% and improving pipeline efficiency by 30% through efficient filtering, conditional mapping, and bulk processing.

Designed and implemented full-stack solutions, including OAuth pipelines, analytics systems, and backend job schedulers, enhancing user engagement and operational efficiency.

• Built OAuth 2.0 pipelines for major social media platforms, handling 1K+ daily authentication requests, and developed reusable React.js UI components, boosting user engagement by 25%.
• Engineered a multi-platform posting system (Java/Python), reducing manual effort by 40% for 1K+ daily posts, and integrated PayPal/Zoho Payments with 99.99% uptime.
• Implemented an RBAC system for 1K+ users, reducing unauthorized access attempts by 50%, and integrated OpenAI services, improving content creation efficiency by 25% using Prisma for 20% faster database queries.
• Migrated Jenkins pipeline to AWS CodePipeline (ECS), reducing deployment time by 33%, and migrated backend job scheduler to Quartz Scheduler with Spring Boot, improving task reliability by 40%.

Contributed to financial reconciliation automation and system reliability improvements as a Software Developer Intern, leveraging Python ETL and Java Spring Boot.

• Automated 85% of financial reconciliations by developing Python ETL scripts with Kafka, reducing manual effort by 25 hours/week.
• Resolved 10+ L3 production issues in reconciliation pipelines, improving system uptime from 92% to 99.5%.
• Built an AngularJS dashboard with Spring Boot backend for transaction discrepancy tracking, reducing reconciliation time by 40% for 50+ analysts.
• Optimized DBT models, reducing BigQuery costs by 18% through partition optimization and query refactoring, and enhanced Apache Airflow pipelines, reducing execution time by 25%.

Led mobile app migration, integrated third-party APIs, and optimized database performance as a Software Development Engineer Intern.

• Led the development of a v2 mobile app migration from a legacy system using React Native.
• Integrated 8+ third-party APIs (payment gateways, analytics, social media) with Redux state management.
• Optimized MySQL queries, reducing API response time by 35% through indexing and query restructuring, and designed 15+ reusable UI components, accelerating feature development by 30%.

Developed a robust microservice using Java and Spring Boot for automated, time-based HTTP callback processing across services, leveraging Quartz Scheduler for job management.

Engineered an automated pull request review system using Java, Spring Boot, and Kafka, integrating with Gemini API for intelligent code review.

Designed and deployed a serverless ETL pipeline using AWS Lambda, Glue, Step Functions, S3, API Gateway, BigQuery, and CloudFormation, with Python and PySpark.

Developed a hybrid recommendation system using Python, Pandas, FastAPI, Scikit-learn, and Keras, combining collaborative filtering with neural embeddings.

Published research on a hybrid recommendation system combining collaborative filtering with neural embeddings for improved precision.