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Jayanti Lahoti
Junior Full-Stack Software Engineer specializing in AI and cloud-native systems
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Backend/systems-oriented engineer focused on building production-constrained LLM agent workflows that automate repetitive operator tasks via intent/entity extraction, retrieval grounding, and structured action recommendations with human-in-the-loop review. Emphasizes reliability through deterministic orchestration, strict tool/function schemas, observability, and disciplined evaluation/feedback loops, with strong experience handling messy multi-service operational data and idempotent execution.
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Key Strengths
- Architects constrained, predictable multi-step LLM agent pipelines (classify → extract/normalize → retrieve/tool → structured response → human review)
- Designs for reliability with explicit failure-mode planning (hallucinations, malformed outputs, tool failure, latency spikes, prompt brittleness)
- Strong production-minded safety approach (human approval for high-risk actions, safe rollout discipline)
- Deep focus on observability with stage-level operational metrics (schema failure, retries, fallbacks, timeouts, latency)
- Systematic evaluation methodology across offline tests, online monitoring, and feedback loops with error bucketing and replay
- Robust integration practices for messy multi-service operational data (canonical models, strict write paths, cross-checking sources, idempotency)
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Experience
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3 publications
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