Mid-level Data Engineer specializing in AI/ML data platforms
NY, NYData Engineer (AI/ML)6 years experienceMid-LevelFinancial ServicesAsset ManagementIndustrial Manufacturing
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About
Built and productionized an LLM-powered PDF document Q&A system to eliminate manual searching through long documents, focusing on scalability and answer reliability. Implemented semantic chunking (using headings/paragraphs/tables), overlap, and preprocessing/quality checks to reduce hallucinations, and orchestrated the end-to-end pipeline with Airflow using retries, alerts, and parallel tasks.
Experience
Data Engineer (AI/ML)BlackRock
Data EngineerGeneral Electric
Education
Webster Universitymaster, Information Technology and Management
St. Peter’s Engineering Collegebachelor, Mechanical Engineering
Key Strengths
Built and deployed production LLM document Q&A system for PDF knowledge access
Improved answer accuracy by semantic chunking (headings/paragraphs/tables) with overlap and preprocessing filters
Designed scalable async pipelines to handle high user volume
Used Airflow to orchestrate multi-step pipelines with retries/alerts and parallelization to reduce failures and processing time
Metrics-driven evaluation of AI workflows (accuracy, retrieval quality, latency, failure rates) with monitoring and fallback logic
Pragmatic model selection via benchmarking for accuracy/speed/cost tradeoffs
Effective collaboration with non-technical stakeholders via plain-language problem framing and iterative prototypes
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