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Sonam Chhatani
Mid-level AI Engineer specializing in causal inference and LLM research
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About
LLM engineer who has deployed a production system combining LLMs with causal inference (DoWhy) to enable counterfactual “what-if” analysis for experimental research, including a robust variable-mapping/validation layer to reduce hallucinations. Also partnered with non-technical operations leadership at Irriion Technologies to deliver an AI-assisted onboarding workflow that cut onboarding time by 50% and reduced manual errors by ~40%.
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Key Strengths
- Built and deployed production LLM + causal inference system for interpretable decision-making and live experiments
- Strong causal reasoning focus (counterfactuals/what-if analysis) beyond correlation-based ML
- Designed robust variable-mapping and validation layer to prevent hallucinated/invalid variables in LLM outputs
- End-to-end LLM workflow orchestration with custom LangChain chains (generation, validation, post-processing)
- Rigorous evaluation approach: golden sets, adversarial/edge-case prompts, unit/integration/E2E tests, monitoring, A/B tests
- Pragmatic model/retrieval selection based on accuracy-latency-cost and data sensitivity constraints
- Demonstrated business impact with non-technical stakeholders (reduced manual errors ~40%, cut onboarding time ~50%)
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