Ashish Kumar Jha

• Agentic AI Deployment: Engineered and launched production-grade generative and agentic AI applications for enterprise clients, automating complex decision-making workflows and reducing manual intervention by 20%. • Led Architected Scalable RAG Pipelines: Leveraged LangChain and LlamaIndex to build retrieval systems that improved information accuracy, ensuring AI outputs remained grounded and reduced "hallucination" risks in client-facing tools. • Drove Operational Intelligence: Designed unified Looker and Power BI dashboards that translated raw data into actionable insights, leading to a 30% reduction in turnaround time for internal process research and competitor analysis. • Owned Backend Integration: Led the development of robust backend scripts using node to bridge AI modules with legacy software, ensuring seamless cross-team integration without disrupting existing engineering workflows. • Optimized Cloud Infrastructure: Managed GCP-based environments for AI development, streamlining SQL database queries and API calls to lower latency and maintain high system availability

• Data Management and IBM Mainframe Operations: Implemented SAS code base for comprehensive data processing tasks, including data extraction, transformation, and loading into the DB2 environment. Created and managed JCL jobs, leveraging SAS programming for data ingestion, modeling, and transformation into the DB2 database. • Automation Testing: Employed in-house automation tools, including a Python (Selenium) based tool, to test web applications and internal tools used by the operation team, ensuring robust system performance and increasing efficiency by 30%. • System Configuration and Enhancement: Conducted comprehensive configurations and customization’s for the TBA system, improving client satisfaction scores by 25% and reducing support inquiries by 30%. • Project Management and Collaboration: Reported bugs and managed workflows following Jira agile methodology. Worked closely with cross-functional teams to troubleshoot and resolve issues, contributing to a 20% reduction in system downtime through effective issue resolution and proactive maintenance