Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
USAGenerative AI Engineer6 years experienceMid-LevelFinancial ServicesHealthcareEnergy
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About
Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.
Experience
Generative AI EngineerJPMorgan Chase
Machine Learning EngineerUnited Health Group
Data ScientistGoldman Sachs
Data ScientistIntuit
Education
University of Houstonmaster, Engineering Data Science
Key Strengths
Built and deployed production LLM RAG system for enterprise document Q&A
Reduced document search time by 40%+ for business users/non-technical stakeholders
Strong hallucination/accuracy mitigation using grounded context and low-confidence rejection
Latency and cost optimization via caching, batch retrieval, and prompt optimization
Deep workflow orchestration experience (Airflow + cloud-native tools) across end-to-end data/ML pipelines
Reliability/observability at scale: structured logging, idempotency, exponential backoff retries, SLA monitoring, and alerting tied to data quality
Rigorous agent/workflow evaluation: offline + synthetic tests, regression testing, prompt versioning, and online monitoring with A/B testing
Effective collaboration with non-technical stakeholders; builds trust with citations, confidence indicators, and live demos on real data
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