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Pranav Singh

@pranavsingh1

Senior AI solution architect specializing in enterprise LLM/RAG systems, cloud integrations, and scalable data pipelines.

United States

Message

What I'm looking for

I seek roles where I can architect and deploy enterprise LLM/RAG solutions, lead cross-functional enablement, and improve reliability and scale via cloud-native integrations.

I am a Senior AI Solution Architect with nine years of post-sales experience designing and deploying enterprise AI and data solutions, translating customer requirements into scalable architectures using Python, LLM-based RAG systems, and cloud integrations on AWS and Azure.

I have led production rollouts including an agentic RAG chatbot at ADP (120-user pilot to enterprise rollout), built embedding-based retrieval pipelines, implemented quality loops to reduce hallucinations, and delivered self-service Kafka tooling that cut onboarding time substantially.

I prioritize stakeholder alignment, enablement through training and documentation, and practical integrations with observability, secrets management, and access controls to improve reliability, compliance, and operational efficiency.

Experience

Work history, roles, and key accomplishments

Principal Data Engineer

Capital One

Jan 2025 - Sep 2025 (8 months)

Built self-service Kafka tooling that reduced new stream onboarding time by 75% and accelerated on-call triage by consolidating LLM-ready artifacts; supported migration of ~30 microservices to AWS Secrets Manager to improve compliance and reliability.

Kafka Python Secrets Manager Observability Data Engineering Automation Troubleshooting

Lead Data Consultant

ADP (Lifion)

Sep 2019 - Sep 2024 (5 years)

Forward-deployed across large implementations to align stakeholders and reduce ramp-to-go-live by 22%; architected an agentic RAG chatbot from 120-user pilot to enterprise rollout and reduced manual reconciliation by 30% through training and SOPs.

RAG Prompt Engineering Python Data Modeling Stakeholder Management Atlassian FinancialForce Training

Middle Office Analyst

BNP Paribas

Oct 2018 - Sep 2019 (11 months)

Implemented USD clearing post-monitoring controls that reduced false warnings by 17% and diagnosed a $16B liquidity risk via payment-flow analysis and visualization to inform Treasury remediation.

SQL Monitoring

Fund Manager

MCTO Capital

Jul 2016 - Oct 2018 (2 years 3 months)

Managed $50M directly within a ~$200M AUM platform, delivering a 12% audited CAGR and 1.3 Sharpe via systematic research and Python-driven execution with relational database analytics.