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Sanjay Santhanam
Mid-level AI Software Engineer specializing in LLMs and FinTech data systems
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Backend/AI systems engineer focused on productionizing agentic document-processing workflows for large financial PDFs. They describe owning deployments end-to-end, combining Python, Redis, LLM function calling, RAG/ReAct-style orchestration, and strong reliability practices to deliver 80% faster processing, reduce parsing errors from 12% to ~1%, and sustain 99.9% uptime in high-concurrency environments.
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Key Strengths
- End-to-end ownership of customer deployments from discovery through post-launch stabilization
- Built LLM/agentic document-processing workflows for large financial documents
- Reduced processing time from 50 seconds to 10 seconds per page
- Cut parsing errors from 12% to about 1%
- Maintained 99.9% uptime in high-concurrency environments
- Strong debugging of distributed systems, race conditions, and API failure issues
- Designed reliable validation and testing guardrails, including 100+ unit tests
- Bridges technical and non-technical stakeholders with dashboards and clear communication
- Experience with polyglot data systems across MongoDB, MySQL, and SQL workflows
- Improved user activation by 20% through performance and reliability gains
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