Senior Data Engineer | Healthcare AI | Privacy-Preserving Systems

I design and build trustworthy data and AI systems—with a focus on healthcare, privacy, and real-world impact.

By trade, I’m a Senior Data Engineer with deep experience in data ingestion, analytics infrastructure, and platform reliability. By inclination, I’m a systems thinker who enjoys working at the boundary between data engineering, applied ML, and human trust—especially in regulated, high-stakes domains like healthcare.

I care about systems that:

• work reliably at scale,
• respect user privacy,
• and remain understandable to the people who depend on them.

• Privacy-preserving data engineering & AI
• Edge-ready and decentralized ML systems
• Healthcare analytics & clinical data platforms
• Bridging production data systems with research workflows
• Building toward Careful Intelligence — a long-term effort exploring trustworthy AI in healthcare

Languages Python, SQL, Bash, Java, TypeScript, JavaScript (comfortable learning new languages as systems demand)

Data & Orchestration Dagster, Apache Spark, dbt, Pandas, Hadoop ecosystem

Cloud & Storage Google Cloud Platform (GCS, BigQuery, Datastore), Azure SQL, SQL Server, Teradata, Informix

Analytics & Visualization Tableau, Vega-Lite, Matplotlib, GeoPandas, OpenRefine

Practices I care about Idempotent pipelines · data validation & observability · schema evolution · reproducibility · de-identification · operational clarity

Cityblock Health | Feb 2024 – Present

• Design and evolve multi-source, multi-format ingestion pipelines for HIPAA-protected healthcare data
• Lead migration to Dagster-based orchestration, improving reliability, extensibility, and developer velocity
• Build validation, profiling, and review workflows that balance automation with human oversight
• Collaborate closely with analytics, clinical, and platform teams

Cityblock Health | Feb 2022 – Feb 2024

• Built robust, idempotent ETL pipelines supporting analytics and operations
• Provided infrastructure guidance across teams to improve data quality and system resilience

Walmart Global Tech | Dec 2019 – Feb 2022

• Developed large-scale analytics systems for pharmacy operations
• Worked with big-data platforms and streaming pipelines in production environments
• Built data-driven applications supporting real-time and batch use cases

Secure Healthcare Data Management Framework Spark-based ingestion framework with NER-driven masking and de-identification, designed for secure handling of clinical text and structured data.

Enhanced Ingestion & Validation Workflow Dagster-orchestrated ingestion system with automated validation, quarantining, and review paths for unconfigured or anomalous data.

Pharmacy Analytics Dashboards Interactive dashboards (Angular + D3) used by pharmacy stakeholders to support operational and analytical decision-making.

• M.S. in Computer Science (in progress) — Old Dominion University

• Research interests:

  • privacy-preserving ML
  • healthcare data systems
  • edge / decentralized AI
  • trustworthy AI infrastructure

• Edge & local-first AI deployment
• Model compression, quantization, and inference efficiency
• Hardware tinkering (Arduino, sensors, instrumentation)
• Algorithms & systems fundamentals
• Security as a design constraint, not an afterthought

• Former Persian Linguist, U.S. Army 🇺🇸
• Lifelong reader; happiest in libraries and used bookstores 📚
• Drums, guitar, piano
• Pinball, live music, comedy, and learning things the hard way

If you’re interested in:

• healthcare data platforms,
• privacy-preserving AI,
• or building systems that people can actually trust,

feel free to explore my repositories or reach out.