syntaxweave

Matt Price

AI Solutions Architect
Arlington, TX (Open to Remote)  ·  r.m.price@gmail.com
syntaxweave.com  ·  linkedin.com/in/matt-price-jpmc

Professional Summary

AI Solutions Architect with a decade-plus background spanning systems engineering and regulated enterprise data. I design deterministic, audit-grade AI systems for high-stakes environments — agentic pipelines with verification in the loop, where provenance and logic integrity are first-class requirements, not afterthoughts. Independently architected and directed an ecosystem of 22 internal AI tools that turned multi-day manual analysis and platform migrations into minutes, scaling to 140+ users through grassroots adoption. Outside of work, I design and ship production AI products end-to-end — data model to front end — documented as case studies at syntaxweave.com.

AI Systems & Architecture

Polyglot Parsing & Documentation Engines

  • Architected modular analysis assistants spanning SQL, Python, Java, Alteryx, Tableau, and Databricks for high-fidelity, lossless logic extraction.
  • Granular capture: exhaustive, attribute-level documentation of every join, filter, and transformation expression, with zero omissions.
  • Audit-ready deliverables: generates business requirements documents, attribute-level lineage tables, logic visualizations, test scenarios, and executive summaries from a single source of truth.
  • Deterministic architecture: a "parse-first" framework anchors all output to a validated intermediate representation, mechanically catching any fabricated construct before it ships.

Cross-Platform Code Migration Suite

  • Directed conversion engines for SQL-to-PySpark, SQL-to-Pandas, Alteryx-to-Databricks, and Java-to-Python migrations built on a shared semantic representation.
  • Logic integrity: faithful reproduction of business logic and complex relationships across platforms, preserving legacy hierarchies in modern cloud targets.
  • Review-ready output: manual-review flags surfaced as first-class fields, with enterprise delivery and quality standards encoded directly into generated code.

Governance, Classification & Adversarial Validation

  • Built an adversarial audit-simulation engine that validates AI output against raw source logic, surfacing the questions a real examiner would ask before review.
  • Designed a data-classification engine using confidence scoring, semantic inference, and a documented-reasoning audit trail to triage high-volume tabular data at scale.

Independent Products — syntaxweave.com

Production AI systems designed, built, and shipped solo — each documented as a public case study covering the problem, the architecture, and the trade-offs.

TrackRecord — live

  • A consumer AI product that reads personality from a public music library: a multi-pass generation pipeline with deterministic verification in the loop, and privacy enforced by architecture — no media is ever stored.

BallisticLens — live

  • A mobile-first shooting-range instructor combining a deterministic physics solver, a real-time in-browser acoustic shot timer, a computer-vision target-analysis pipeline, and AI coaching grounded by the deterministic layer — so the coach can't invent results the physics owns.

LedgerLamp — live

  • A private household billing ledger with AI-assisted extraction from email and a deterministic insight engine on top. Built behind swap-in provider interfaces; privacy enforced by design (raw documents discarded after structured-field approval).

TailTracker — pro bono, in development

  • A full shelter-management system for a no-kill non-profit, built pro bono: 68-table data model, 17 roles, 20+ modules, passkey/biometric authentication, push notifications, and role-scoped AI-structured briefings.

Professional Experience

JPMorgan Chase  ·  Senior Product Delivery Associate Jan 2024 – Present
  • Independently architected and directed a sandbox ecosystem of 22 internal AI tools, scaling to 140+ users through grassroots demonstration of 90%+ efficiency gains — adoption driven by results, not mandate.
  • Architected deterministic, verifiable AI for regulated work, with provenance, validation, and audit-readiness as first-class requirements.
  • Developed an early, hands-on LLMOps validation protocol — using standard test files and a known-good "answer key" — to hold AI quality and logic integrity steady across model upgrades.
  • Lead end-to-end data-lineage documentation across complex regulatory-reporting pipelines, improving transparency for audit cycles.
JPMorgan Chase  ·  Senior Business Analyst Sep 2021 – Jan 2024
  • Conducted deep-dive analysis of legacy data pipelines to identify documentation gaps and logic drift in regulatory reporting.
  • Partnered with engineering teams to map attribute-level lineage for large-scale data migrations.
  • Authored business and data requirements documentation for enterprise data services.
Career Pause — Family Caregiving Aug 2019 – Aug 2021
JPMorgan Chase  ·  Information Analyst Dec 2013 – Aug 2019
  • Engineered loan-level and portfolio-level reports for quality assurance, supporting risk mitigation and reconciliation.
  • Automated repetitive weekly and monthly reporting cycles by building self-serve query templates.
  • Translated complex quality-control requirements into actionable data and reporting.
Earlier Roles — Systems & Network Engineering 2007 – 2013
  • Systems and network engineering across enterprise infrastructure — servers, storage, virtualization, and networks — the foundation behind the infrastructure-first lens I architect with today. (System Analyst, CANTEX; Network & Systems Engineer, State of Texas; Network Engineer.)

Technical Skills & Education

AI Architecture Agentic system design, verifier-in-the-loop architecture, prompt engineering, LLMOps & automated validation, semantic classification, intermediate-representation design.
Core Language & Data SQL (Oracle, MS SQL, PL/SQL, T-SQL) — hands-on; data lineage, requirements engineering, Agile, JIRA/Confluence.
Build Stacks & Platforms PHP/MySQL, Python (Pandas), REST APIs, Alteryx, Databricks (PySpark), Tableau, Java — systems I architect and direct (build & migration targets).
Education & Certifications B.S., Computer Information Systems — Tarleton State University
AWS Certified Cloud Practitioner  ·  AWS Certified AI Practitioner

Military Service

U.S. Army Reserves, NAS Dallas — 1/158th Aviation Battalion

76Q: Equipment Records & Parts Specialist