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Aishwarya Chand
Mid-level ML Software Engineer specializing in real-time AI and backend systems
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About
AI engineer focused on production-grade LLM systems rather than prompt-only solutions, with hands-on experience building citation-grounded RAG products and multi-agent workflows. Most notably built a financial document intelligence system for SEC filings and contracts that achieved ~92% recall@5, cut latency below 2 seconds, reduced hallucinations, and turned analyst research from hours into seconds.
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Key Strengths
- Production-focused AI system design
- Strong RAG architecture for financial document intelligence
- Built citation-grounded SEC filing and contract analysis workflows
- Retrieval performance optimization with 92% recall@5
- Reduced inference latency below 2 seconds
- Measured hallucination reduction of roughly 18%
- Improved analyst productivity from hours to seconds
- Design of modular multi-agent support resolution systems
- FastAPI microservices enabling independently scalable agent components
- Human-in-the-loop approach for validation, security, and edge cases
- Agent workflow orchestration across retrieval, reasoning, routing, and action execution
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