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Ashutosh Singh
Mid-level Software Engineer specializing in backend systems and distributed platforms
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About
Built from scratch a social media analytics MVP featuring an LLM-powered semantic search agent that became a core part of the product experience within a 6-week deadline. Stands out for focusing on production readiness early—retrieval-first design, explicit tool constraints, structured outputs, idempotent services, and practical eval/monitoring loops rather than demo-only AI.
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Key Strengths
- Built and shipped an LLM-powered semantic search agent under a 6-week MVP deadline
- Designed retrieval-first architecture to reduce hallucination risk
- Productionized AI workflows with timeouts, fallbacks, and restart/degraded-model handling
- Architected multi-step agent workflows with explicit tool calling and validated inputs
- Implemented structured response schemas for predictable downstream integration
- Used externalized state and idempotent services for safe retries and resilience
- Set up offline evals and online monitoring for agent reliability
- Improved reliability by tightening tool schemas and narrowing model action choices
- Handled messy client data through AI-assisted research plus manual verification
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