Mid-level AI Engineer & Data Scientist specializing in LLMs, RAG, and multimodal systems
Tempe, AZData Scientist5 years experienceMid-LevelFinancial ServicesRetailConsulting
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About
LLM/GenAI engineer who built a production AI-powered credit risk policy summarization and compliance alerting platform at HCL Tech, focused on factual accuracy and auditability for a financial client. Implemented a multi-retriever LangChain RAG architecture with citations-only prompting, fallback agents, and human-in-the-loop legal review—cutting manual review time by 35% and scaling to 12 teams.
Experience
Data ScientistHCL Tech
Data ScientistHexaware Technologies
Data Analyst, FinanceMindtree
ResearcherComplex Data Reasoning and Analysis Lab
Education
Arizona State Universitymaster, Data Science (2025)
Key Strengths
Built and deployed production LLM risk reporting/automation platform for financial client
Designed multi-retriever RAG pipeline with metadata filtering and fallback agents to reduce hallucinations
Implemented citations-only output filtering for auditability in regulated finance workflows
Integrated human-in-the-loop legal/compliance review process
Reduced manual review time by 35% while passing internal compliance checks
Scaled solution adoption across 12 teams
Strong orchestration experience across AWS Step Functions and Airflow for end-to-end ML/LLM pipelines
Structured reliability approach: success metrics, modular/version-controlled components, automated + human eval, monitoring and drift detection
Effective collaboration with non-technical compliance stakeholders via workshops, prototypes, and weekly feedback loops
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