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Nishantkumar Asodariya
Mid-level Supply Chain Analyst specializing in global logistics automation and forecasting
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About
Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.
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Key Strengths
- Built and deployed production LLM + embeddings resume/job matching system end-to-end
- Strong hallucination mitigation via retrieval grounding and JSON-schema constrained scoring
- Performance optimization under load (precomputed embeddings, batching, Redis caching)
- Cost control for LLM workloads (cost model, top-K pruning, budget checks, tiered fallbacks, tenant caps)
- Orchestration expertise across Airflow, Prefect, and Kubernetes (Jobs/CronJobs) for ML pipelines
- Rigorous agent/workflow evaluation approach (benchmarks, unit/integration tests, adversarial prompts, offline eval)
- Production rollout discipline (staging, shadow/partial traffic, monitoring for regression/drift)
- Effective collaboration with non-technical stakeholders through prototyping and translating requirements into measurable outcomes
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