Robyn X. Wang
Creative builder and AI-product specialist who turns ambiguous, messy user problems into clear, shipped solutions. User-obsessed communicator fluent in AI building tools and quick to get people unblocked.
Education
Harvard University
2022 — 2026Dual Master's, Design Studies & Landscape Architecture
Massachusetts Institute of Technology
2026 — 2026Cross-Registration, Cross-Registration
Experience
ATLAS Building Composites (MIT Incubated Start-up)Deployment Strategist
2026 — Present- Architected a full-stack quoting and CAD-configuration platform (FastAPI, React, Three.js) that converts build parameters into a bill of materials, price breakdown, navigable 3D assembly, and stampable drawing set — all deterministic, auditable, and catalog-driven with no hardcoded engineering logic.
- Defined the system's data contract, role-tiered access model (public/sales/engineering views from one engine), and governed state machine with an immutable audit trail; wrote the product requirements that became the build spec.
- Designed customer-facing workflows that bridge founders' technical vision with end-user needs, directly shaping the product roadmap and go-to-market strategy.
Harvard CAMLabProduct Experience Researcher
2024 — 2024- Mapped end-to-end user journeys and defined interaction logic for an immersive Ed-Tech VR application
- Delivered a VR theater prototype and exhibition strategy; secured program continuation from client stakeholders
MIT Sloan Action Learning Lab – Sappi North AmericaSolutions Consultant
2026 — 2026- Partnered with marketing, sales, and IT teams at a $2B+ paperboard manufacturer to address 30% of revenue at risk from substitution; pivoted from survey-based scope to a sales enablement AI agent after diagnosing brand-access barriers and the sales team's pre-call intelligence needs, informed a $550M manufacturing investment decision
- Shipped a 0-1 citation-grounded corporate-level agentic intelligence platform tracking CPG brands, competitors, and regulatory signals through a proprietary framework; decreased sales call prep time by 75%. Weekly evals against a 20-pair gold set tracking regression across six modules, 19 brands with logged cycles over the past two months.
MIT Sloan Action Learning Lab – Pison PerformGrowth Consultant
2026 — 2026- Diagnosed adoption gaps for a neuro-wearable consumer product; recommended growth strategy including segmentation, messaging, and product line adjustments
- Partnering with engineering team to ship an AI agent growth advertisement using AI video software for customer onboarding and biometric performance feedback; translating product requirements into user scenarios
Projects
Kleenex – Product StrategyClient Project
2025 — 2025- Coordinated 10+ person cross-functional team to ship full-cycle strategy development for a wellness product line
- Translated user research and market insights into 10+ validated prototypes, executable multi-platform GTM assets
AI-Assisted Product DesignResearch Project
2026 — 2026- Built an end-to-end AI workflow using vision-language models (VLMs) for image parsing, feature extraction, and translation of visual references into product attributes
- Prototyped a scalable pipeline demonstrating creative tooling potential for image-to-product generation
Computational CurationResearch Project
2026 — 2026- Applied VLM analysis and structured data extraction to classify pigments and objects across a museum-scale open collection dataset. Built a front-end prototype translating model outputs into an interactive curation tool
Skills
AI & Building:
prompt engineering, LLM/VLM workflow design, AI agent design, rapid prototyping, AI app & front-end tools
Product & Support:
user research, 0-1 product, troubleshooting & evaluation, knowledge-base upkeep, A/B testing
Communication:
stakeholder management, technical translation, pitch & go-to-market development