Work
Selectedwork.
Six systems across research, data platforms and automation. Each one exists to answer a question that was previously answered by assumption.
- 01
Causal Inference for Education
Research/Research leadEstimating what actually moves learning outcomes — quasi-experimental designs, sensitivity analysis, and honest uncertainty bounds for enrollment and intervention decisions.
2024 —
PythonDoWhyEconML - 02
Program Evaluation Platform
Data Platform/ArchitectA production pipeline that turns raw enrollment and assessment data into decision-ready causal estimates, with automated balance checks and reproducible specifications.
2023 — 2024
AirflowdbtSnowflake - 03
Applied AI Systems
AI Engineering/BuilderLLM-backed assistants wired into real operational workflows: evaluation harnesses, retrieval, guardrails, and cost discipline rather than demo-ware.
2025 —
PythonTypeScriptRAG - 04
Market Intelligence Scanner
Automation/BuilderA parallelized research engine that screens dozens of tickers nightly, scores momentum, valuation and sentiment, and delivers a ranked brief before the open.
2026
Pythonpandasyfinance - 05
Knowledge Digest Pipeline
Automation/BuilderNightly ingestion across research feeds and technical blogs, distilled into a morning brief that stays readable instead of becoming another unread backlog.
2026
PythonRSSLLM - 06
Portfolio Risk Engine
Quant/BuilderRisk-aware allocation across max-Sharpe, minimum-variance and hierarchical risk parity, with drawdown, VaR and correlation diagnostics run on every rebalance.
2026
PyPortfolioOptskfoliopandas-ta