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Aryaman Srivastava
Intern Software Engineer specializing in backend, cloud, and machine learning
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About
Built practical automation systems spanning an NLP-based news classification pipeline and a WhatsApp interaction agent. Shows strong instincts around production reliability—using structured outputs, schema validation, idempotency, retries, and clarification flows to prevent bad actions in real-world messaging workflows.
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Key Strengths
- Built an automated news tagging pipeline with 80% accuracy
- Designed end-to-end WhatsApp agent workflows
- Strong structured output and schema validation design
- Reliability-focused architecture with idempotency and retry handling
- Safe handling of ambiguous or incomplete inputs via clarification flows
- Modular, reproducible pipeline design for easier debugging and consistency
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