Ashwani Kumar

* Process Automation: Contributed to the design of an automated agentic AI scraping system using Langgraph for data collection, successfully reducing manual development time required for data gathering by 75%. * Data Processing: Overhauled database validation scripts and backend workflows, shrinking data validation processing cycles from 48 hours to just 2 hours. * Database Optimization: Resolved application memory issues and database slowdowns during heavy traffic spikes by refactoring pipelines with Python generators and deploying PgBouncer connection pooling. * Infrastructure Support: Migrated internal monitoring utilities to ControlPlane microservices and configured automated build/test pipelines using GitHub Actions CI/CD.

* Data Ingestion: Architected a stable, multi-tenant data harvesting infrastructure that automated on-demand data feeds for multiple external business clients. * Pipeline Management: Built and managed data pipelines processing over 3 million records across the Healthcare, E-commerce, and News sectors while maintaining strict data quality standards. * Team Support: Developed shared data-cleaning and manipulation libraries using NumPy and Pandas, improving pipeline development speed across the engineering team by 40%.

* Pipeline Development: Formulated automated web scraping extraction routines integrated with text-processing and sentiment analysis workflows to ingest unstructured data arrays. * Data Modeling: Developed and optimized a Decision Tree Classifier using Scikit-learn to systematically categorize structural damage patterns across regional datasets.