Senior Architect · Data Platforms · AI-Enabled Systems

Production software architecture for data-intensive and AI-era systems.

I design and deliver systems where architecture, data, modeling, APIs, automation, and operational decision-making work together in production as well as they did in the demo.

What I build

Systems that connect raw operational data, analytics pipelines, models, and user-facing applications into durable production architectures.

Forecasting and Decision Platforms

Time-series forecasting, analytics, and decision-support systems built on high-performance data foundations with modeling, APIs, dashboards, and production serving layers.

AI Development Orchestration

Supervisor-driven systems that coordinate planning, execution, review, verification, retry, and structured failure handling across multiple AI coding backends.

Data Platforms and Lakehouse Architecture

Extraction, ingestion, normalization, transformation, analytics pipelines, Iceberg/Parquet data layers, warehouses, and production-grade serving architecture.

Operating focus

Architecture with execution discipline.

The work is not only choosing tools. It is decomposing complex business problems into systems that can be built, tested, operated, extended, and trusted — with minimal technical debt and clear boundaries between data, models, services, and users.

Core capability areas

A practical mix of data architecture, backend engineering, AI-enabled workflows, forecasting systems, modernization, and production delivery.

Forecasting and analytics platformsAutonomous development orchestration systemsMulti-backend AI and agentic workflow systemsDocument intelligence systemsOperational dashboards and decision-support toolsLegacy platform modernizationCustom backend and API platformsProduction ML and model-serving systemsSupply chain, healthcare, energy, and manufacturing analytics

Current themes

Independent work and advisory focus are centered on forecasting and decision-support systems, autonomous software development orchestration, multi-model AI systems, and practical AI adoption for production software organizations.

Forecasting and decision systems

Platforms for demand planning, market modeling, inventory health, pricing, operational analytics, and energy-market analysis using reproducible data pipelines, model evaluation, and decision-oriented dashboards.

Autonomous development orchestration

Systems that coordinate AI coding backends through structured task contracts, deterministic verification, reviewer/verifier loops, sandboxed execution, git automation, and tiered retry strategies.