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Dharmik Bhingradiya
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps on AWS
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About
AI engineer who built a production RAG-based internal analyst tool at BlackRock, fine-tuning an LLM on proprietary financial data and adding four layers of guardrails (input/retrieval/generation/output) to improve grounding and reduce hallucinations. Implemented a LangChain-based multi-agent orchestration (7 major agents) deployed on AWS ECS, with reliability measured via internal human evaluation, LLM-as-judge, and RLHF/drift monitoring.
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Key Strengths
- Built and deployed a production RAG system for internal financial decision support at BlackRock
- Designed multi-layer guardrails to reduce hallucinations and enforce grounded, truthful outputs
- Implemented hybrid retrieval with query-dependent weighting between keyword and vector search
- Developed evaluation loop combining internal human review, LLM-as-judge, and RLHF in production
- Experience orchestrating multi-agent workflows (7 major agents) using LangChain on AWS ECS
- Able to train and onboard analyst stakeholders to effectively use an LLM-based internal tool
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