Ansh Bajaj

About

Candidate has hands-on experience delivering production data and AI systems, including an AWS-based real-time data platform for a financial client at Deloitte and a production RAG workflow that cut manual search time by 40%. They stand out for combining strong data engineering depth with practical LLM governance, incident debugging, and stakeholder management across business and risk/compliance teams.

Key Strengths

• Owned end-to-end AWS real-time data deployment for a financial client
• Balanced low-latency and data accuracy using micro-batching and Spark watermarking
• Reduced pipeline failures by 30% through monitoring and data quality checks
• Strong cross-functional stakeholder management across business, engineering, risk, and data teams
• Built production RAG workflow for internal knowledge retrieval
• Improved business-user search efficiency by 40% with LLM-based document retrieval
• Improved LLM trustworthiness with source citations and fallback responses
• Debugged inconsistent AI answers by tracing ingestion, embeddings, and retrieval issues
• Prevented recurrence of retrieval errors with freshness checks and monitoring
• Built resilient OCR-to-API invoice processing workflows with manual review loops

Experience

Education

Skills

Languages