Senior Technical Program Manager focused on B2B SaaS platform delivery, customer data/CDP foundations, AI automation readiness, and evidence-first program operations.
I turn cross-squad delivery complexity into source-backed plans, release gates, risk/dependency hygiene, and stakeholder-ready decisions.
Portfolio | LinkedIn | Email | GitHub
- B2B SaaS platform readiness across billing, permissions, navigation, migration, and rollout gates.
- Customer data and CDP delivery across profiles, activity, segmentation, notes, migration, and customer intelligence foundations.
- AI automation readiness across chatbot service migration, knowledge-source operations, reporting, and AI agent rollout foundations.
- Evidence-first program systems for source-backed tracking, runbooks, risk registers, release checklists, and safe public artifacts.
Suite-level framing: Truth Tools is an evidence-first technical-program reliability toolkit combining provenance-preserving evidence intake, defensible timeline compilation, agent-guided status synthesis, and deterministic pre-publication review.
Conceptual flow: Program Truth emits the canonical StatusArtifact v2 directly from evidence and planning inputs; Truth Tools is the deterministic review gate for artifact quality and explicit health-consistency review. It does not independently determine program health.
It brings together three components:
- Capture Truth — provenance-preserving evidence intake with candidate derivation. Source provenance, unreviewed candidates, and explicit portable-review gates remain visible. Repository
- Program Truth — explicit assessment and evidence synthesis across delivery sources, with no bundled connectors. Repository
- Timeline Truth — locator-only compilation for canonical handoff and schedule-drift visibility, without inventing missing dates, owners, or dependencies. Repository
Truth Tools repository | Live demo | Portfolio case study
- Start with source material before writing status.
- Keep risks, blockers, owners, dates, and assumptions explicit.
- Separate public artifacts from private operational detail.
- Build lightweight tooling when repeated coordination work deserves a system.
- Translate messy delivery reality into decisions leaders and squads can act on.
I am investing in TPM and operator workflows that make AI-assisted delivery safer: better evidence intake, visible uncertainty, and reviewable outputs.
For roles or collaboration where program/product delivery matters: hilmimukti@gmail.com, LinkedIn, or Portfolio.