Technical project plans & roadmaps
Plans, milestones, and release schedules teams can actually run against.
PMP-certified delivery lead. Seven years turning tangled requirements into predictable releases across SaaS, health-tech, and data products.
I lead delivery where the path isn't drawn yet. The work starts as a tangle of competing priorities, half-formed requirements, and teams spread across five time zones — and my job is to give it structure, sequence, and a date you can trust.
Over seven years I've built technical project plans, roadmaps, work breakdown structures, risk registers, and release-readiness gates for SaaS, health-tech, and data products. I translate ambiguous scope into acceptance criteria and sprint commitments, then hold the line through delivery.
The result is the same wherever I land: more predictable releases, fewer defects, faster MVPs, and stakeholders who always know where things stand.
Nine disciplines I bring to every engagement to keep delivery predictable.
Break scope into a work breakdown structure, map the dependencies, and commit to a date the team can defend — not a hopeful one.
A living risk register and release-readiness gates mean trouble shows up in a standup, not on launch day.
Engineers get detail; executives get decisions and trade-offs. Everyone always knows where things stand.
Retrospectives and postmortems turn into systemic fixes, so the same defect or delay doesn't return next cycle.
I use AI tools as a delivery multiplier — shipping working software, dashboards, and plans faster, from first prompt to production.
Sites taken from a blank canvas through design and visualization to a live, published product — deployed on Vercel, Netlify, and custom domains.
Analytics dashboards that turn raw delivery and product data into decision-ready views — designed, built, and iterated with AI.
Whole project plans — WBS, roadmaps, estimates, Gantt charts, and resource models — drafted and stress-tested with AI, then held to a date.
Prompts turned into working interactive HTML and React mockups — the fast path from an idea to something stakeholders can click.
Proposals, SOWs, and pitch decks drafted, structured, and polished with AI — a fraction of the usual turnaround, without losing rigor.
Agent-driven automations that take repetitive, multi-step work off people’s plates and run it end to end.
Driving how a delivery team adopts AI — setting standard workflows and guardrails, and tracking adoption and impact so the gains are measured, not assumed.
The plans, boards, and registers I use to keep delivery predictable.
| Risk | Severity | Mitigation |
|---|---|---|
| Vendor API slippage | High | Mock + weekly vendor sync |
| Scope creep | Med | Change-control gate |
| Environment parity | Med | IaC + staging mirror |
| Key-person dependency | Low | Pairing + runbooks |
Industry certifications verified on Credly, plus the academic foundation and the toolkit I work in.
Open to engineering project and program leadership roles.
jaisondsouza333@gmail.com +1 (313) 200-7009 LinkedIn Credly badges Download résumé