Data Pipelines
- SQL, Python, orchestration
- Data modeling & reporting layers
- ETL / ELT and workflow automation
Portfolio
I build data pipelines, analytics systems, and AI-driven tools that make messy information easier to trust and use. Background spans GovCon intelligence, membership analytics, and AI/LLM workflow development — SQL and Python-heavy, with a preference for explainable output over dashboard theater.
Snapshot
What I do, how I work, and what roles are the best fit.
Data pipelines and reporting layers that make messy operational data more usable.
Systems-minded, SQL/Python-heavy, and focused on clear decision support rather than dashboard theater.
Data Engineer, Analytics Engineer, BI Engineer, and adjacent AI/data workflow roles.
RAG workflows, stakeholder-facing analytics, D3 storytelling, and project work with real personality.
The strongest throughline in my work is not one tool — it is combining data infrastructure, analytics, and explanation into systems people can actually use.
A focused set of projects that show how I build pipelines, analytics products, AI workflows, and decision-support tools end to end.
AI Pipeline
RAG pipeline that turns an Obsidian vault into a searchable, citation-grounded knowledge system using semantic chunking, embeddings, vector retrieval, and a streaming chat interface.
AI Pipeline
Built a local-first AI pipeline observability project that ingests run logs, flags failures and runtime spikes, and surfaces pipeline health through CLI reporting and a lightweight dashboard.
D3 Visualization
Interactive D3 project translating utility filings, environmental data, and infrastructure reporting into a scrollytelling view of how Northern Virginia's data center boom is reshaping energy demand, water use, and grid strain.
Quant Model
Evidence-based review of the low FODMAP diet covering mechanism, clinical efficacy, risks, and practical implementation. Reproducible R Markdown report with figures and tables.
D3 Visualization
Interactive D3.js map tracking key events, military operations, economic disruptions, and humanitarian impacts of the 2026 Iran–US conflict. Scrollable timeline animates the war day by day.
AI Pipeline
Built an end-to-end NLP application that turned a large text corpus into a predictive language model and deployed it as an interactive Shiny app.
D3 Visualization
A collection of D3-based projects exploring demographics, regional patterns, and sports data through interactive charts, maps, and exploratory visual storytelling.
Deployed and runnable — click any to explore.
Search and chat with an Obsidian vault through a citation-grounded RAG pipeline built on semantic chunking, embeddings, and vector retrieval
Full-stack card database with SQLite FTS5 search, comparison flows, recommendation logic, and a synergy-aware loadout builder
Job-market analytics project tracking AI hiring trends, skill demand, and market momentum through aggregated posting data
Evidence-based R Markdown review translating clinical nutrition research into a clearer, reproducible report.
Public research vault mapping DMV tech, GovCon, and infrastructure companies through a structured Obsidian knowledge base
D3 scrollytelling project translating public infrastructure data into a clearer view of Northern Virginia's data center boom
Interactive D3 map tracking strikes, naval engagements, oil disruption, and humanitarian impact — day-by-day timeline
Experimental portfolio world that turns regional identity, projects, and storytelling into a game-like front-end experience