Senior Data & AI Leader · Applied ML · NLP · GenAI
I translate ambiguous business problems into production ML, NLP, time series, and decision intelligence systems. Hands-on builder who codes, models, and ships — with a track record of moving executive-level decisions through data.
What I bring
01 · Strategy & leadership
ML roadmap and governance, executive stakeholder communication, transformational consulting, technical mentorship across distributed offices, vendor and partner management. Designed the executive measurement layer (Python + Power BI) that consolidated 17 modernization workstreams into a single dashboard.
02 · ML & statistics
Supervised and unsupervised learning, time series forecasting (Prophet, ARIMA, gradient-boosted), NLP and text mining, anomaly detection, Bayesian inference, causal inference, A/B and switchback testing, optimization (Gurobi, OR-Tools).
03 · GenAI & LLM systems
Hybrid retrieval, cross-encoder re-ranking, citation grounding. LLM evaluation across faithfulness, hallucination, and answer relevance via RAGAS and TruLens. Fine-tuning on OpenAI / Anthropic / Bedrock with vector stores including Pinecone, Weaviate, FAISS, pgvector, Qdrant.
04 · Engineering & platform
Python, SQL, TypeScript, Bash. FastAPI, Docker, Kubernetes (EKS, AKS, GKE), MLflow, Weights and Biases, Airflow, Prefect, Celery, Ray Serve. CI/CD with GitHub Actions. REST and gRPC API design. The patterns that let a team sleep through the weekend.
05 · Data platforms & cloud
Spark, PySpark, Databricks, dbt, Snowflake, BigQuery, Delta Lake, Kafka, Postgres, Redis. Cloud-native on AWS (SageMaker, Bedrock, Lambda, ECS, EKS), GCP (Vertex AI, BigQuery), Azure (ML, OpenAI, AKS), and Oracle Cloud.
06 · Visualization, BI & geospatial
Tableau (including geographic and map layers), Power BI, advanced financial modeling in Excel (what-if and scenario planning), Plotly, PostGIS. Geospatial layer integrating raster and satellite signals with operator records.
Signature builds
DocSensei · 2023→
End-to-end RAG for high-volume document workflows in insurance and legal. Hybrid retrieval (BM25 + dense embeddings), cross-encoder re-ranking, page-faithful citations, and a hallucination guardrail that scores each generated span against retrieved evidence. Currently in beta at a U.S. insurance brokerage under a perpetual source-code license.
ORCA · 2024
Asset-level liability and exposure model for a national operator. Combined satellite-derived signals, regulatory schedules, and operator-submitted data into a single risk index. Quantified expected exposure under alternative regulatory regimes and surfaced under-reporting patterns.
Setup Score · 2022→
Multi-factor signal generator (Setup Score v6 and v7) blending momentum, volatility regime, options flow, and earnings drift. Pine Script and Python research stack with live tracking across selected positions. Hands-on financial markets and instrument-level research, informing personal trading capital.
Private repositories. Demos available on request.
Industry coverage
How to engage
A · Senior leadership role
Open to senior in-house roles where the mandate is real: building the function, shipping the systems, and moving the executive-level decisions. Currently Principal Scientist at the State of Connecticut.
B · Advisor
Quarterly engagements with founders, CIOs and CDAOs. Strategy review, hiring rubrics, programme audits, and decision support on bets above $250k.
C · Builder
Project work delivered through Solution Cabin. Document intelligence, predictive risk, agent systems, modern data platforms. Production code, not slideware.