Experience
AI Transformation & Governance Lead
Global Consulting Firm — Boston, MA
- Authored an AI strategic plan with a Crawl–Walk–Run maturity model aligned to NIST AI RMF and practical delivery constraints.
- Designed a TRACE-style methodology and TILETS learning loop for governed, auditable AI-assisted content production; achieved >60% workforce enablement and built an internal champion network.
- Delivered 15+ AI assistants and reusable workflows; reduced manual reporting time ~40% and accelerated test design cycles ~30%.
- Enabled rapid executive-ready packaging of complex workstreams by separating deterministic artifact generation from final narrative framing.
- Built lightweight CLI automation and folder contracts so outputs were traceable, reproducible, and safe to reuse.
Builder — Intent-to-Artifact Workflows
Self-Directed (Open Work) — Remote
- Designed and implemented an “Intent Foundry” approach: staged human–AI collaboration that turns ambiguous intent into tempered, traceable, execution-ready artifacts.
- Added recasting (forward intent→outputs and reverse outputs→evidence→inferred intent) to enable validation, auditability, and alternate stakeholder perspectives.
- Standardized run packaging so any run can be re-issued as a single executive-ready document driven by run-scoped YAML specifications.
- Practiced a tool-neutral AI co-collaboration model (e.g., Windsurf/Cascade) focused on durable artifacts, not chat transcripts.
Senior Product Manager
Acme Software — Remote
- Owned roadmap for a workflow automation platform; grew active users 3x and improved retention by 18%.
- Partnered with engineering to ship a reliability initiative; reduced Sev-1 incidents by 45% in two quarters.
- Introduced lightweight experimentation and success metrics; accelerated decision-making and cut rework.
Projects
CVFoundry-Lite
Creator
- Built a self-contained resume generator from canonical YAML + config YAML using Python + Jinja, optimized for portability (single HTML file).
- Added validation + normalization so non-technical users can safely evolve a “CV source of truth” without template breakage.
- Included build metadata (date/version/hash) to make outputs traceable and reproducible.
CVFoundry (Concept)
Designer
- Developed a pragmatic approach to “CV as code”: structured data + templates + deterministic builds instead of manual Word/PDF version sprawl.
- Used AI as a co-collaborator for refactors, not just drafting—keeping the canonical CV clean over time.
KOS / TRACE (Concept)
Author
- Explored a tool-neutral control-plane for Human–AI co-collaboration where thinking becomes durable artifacts.
- Applied traceability and human-in-the-loop endorsement to improve trust in AI-assisted knowledge work.
ResDoc Template + Shared Engines
Maintainer
- Created a Markdown-first, Git-friendly scaffold for AI-assisted research and decision-support deliverables (TRACE loop + TILETS staging).
- Promoted simple conventions (one artifact per run, deterministic naming) to improve reuse, governance, and team adoption.