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Dhruv Arora

Senior Generative AI Implementation Consultant specializing in RAG and agentic AI on cloud

Bay Area, CASenior GenAI Implementation Consultant3 years experienceSeniorConsultingArtificial IntelligenceCloud Computing
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About

LLM/RAG practitioner who built an AWS-based enterprise document search and summarization platform with RBAC and scaled it to 10K+ users, solving relevance issues via contextual chunking and hybrid retrieval. Also designed agentic workflows for a telecom forecast-validation use case using sub-agents, tool APIs, and strict context management, and has proven pre-sales influence (supported a $300K manufacturing deal with a roadmap-driven pitch).

Experience

Senior GenAI Implementation ConsultantCapgemini
Data ScientistNatWest Group
Machine Learning Engineer (Professional Development)SAP

Education

Duke University, The Fuqua School of Businessmaster, Quantitative Management (Business Analytics, Strategy Track) (2024)
IIIT Delhibachelor, Computer Science and Engineering (Minor: Economics) (2021)

Key Strengths

  • Built and scaled an enterprise search + summarization/RAG platform to 10K+ employees
  • Improved answer relevance by diagnosing retrieval issues and implementing contextual chunking
  • Designed scalable ingestion architecture using async queues and workflow orchestration (SQS + Step Functions)
  • Separated ingestion from query path to protect latency; strong performance/scalability engineering
  • Implemented query scaling with ECS, load balancer, autoscaling driven by p95 latency and CPU
  • Pragmatic caching strategy (LRU) to reduce unnecessary index searches
  • Creative solution for user-uploaded docs: local RAG with FAISS stored in Redis with TTL
  • Strong agent design for real-world workflows: decomposed forecast validation into sub-agents with targeted tools
  • Disciplined approach to LLM reliability: short-horizon task decomposition and context-window-aware API design
  • Effective technical communication: demo/workshop structure centered on the 'why' and audience engagement techniques
  • Pre-sales impact: helped close a $300K deal by reframing requirements into a broader adoption roadmap

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Languages

English

Skills

A/B TestingAPI GatewayAthenaAWSAWS BedrockAWS ECSAWS GlueAWS LambdaAWS OpenSearchAWS SageMakerAWS Step FunctionsAgentic AIBERTBitbucketCausal Analysis