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Aarushi Mahajan
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and MLOps
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Internship experience shipping production AI systems: built an end-to-end RAG platform (Python/FastAPI + LangChain/LangGraph + vector search) to answer support questions from unstructured internal docs, with a strong focus on hallucination prevention through confidence gating and rigorous offline/online evaluation. Also delivered an AI-driven personalization/analytics feature using an unsupervised clustering pipeline, iterating with PMs to align statistically strong clusters with actionable business segmentation.
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Key Strengths
- Built and deployed a production RAG system over unstructured internal documents
- Systematic hallucination mitigation via retrieval confidence gating, prompting constraints, and evaluation layers
- Designed robust offline evaluation with gold + adversarial query sets (200–500 queries)
- Defined and tracked reliability metrics (grounded answer rate, unsupported claim rate, refusal quality) with A/B testing
- Strong LLM workflow/agent design with deterministic stages, guardrails, and graceful degradation
- Production orchestration experience (LangChain/LangGraph for LLM flows; Airflow for scheduled embedding/eval jobs)
- Improved measurement by shifting from answer-level scoring to claim-level (atomic claims) verification
- Effective collaboration with non-technical stakeholders; reframed ML outputs into business-valid success criteria and interpretability trade-offs
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1 publication
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