AI-assisted document editor that turns messy briefs into structured JSON, paginated print layouts, and prompt-based edits with pixel-stable PDF export.
Next.jsZodLLMPrint CSS
A resume you can send
Drop in a PDF or DOCX. Edit it on real A4. Export.
No account needed to edit and export. Studio saves on this device; sign in to keep a private cloud library.
Sample·
How it works
Three steps, no template hunting
- 1
Import
Drop a PDF, DOCX or paste text. We parse it into structured sections instead of a wall of text.
- 2
Polish on A4
Edit directly on the sheet. Pagination, margins and type are the ones the PDF will use.
- 3
Export
Download a submission-ready file, or send a private link that you can revoke.
Templates
8 distinctive layouts, all ATS-readable
Every template is real text on A4 — no text-as-image, no columns that scramble in a parser. Switch any time; your content stays put.
Jordan Hale
Senior Product Engineer · Full-Stack · AI Systems
Summary
Full-stack engineer with 8+ years taking B2B products from sketch to production across payments, SaaS, and AI tooling. Bridges product discovery, system design, and hands-on implementation. Recently focused on LLM-powered workflows, structured data pipelines, and high-signal UX for professional tools.
Skills
LanguagesTypeScript · Python · Go · SQLFrontendReact · Next.js · Tailwind CSS · ZustandBackendNode.js · PostgreSQL · Redis · gRPCAI / DataOpenAI / Anthropic APIs · RAG pipelines · Prompt engineering · Eval harnessesInfraDocker · AWS · CI/CD · ObservabilityProjects
LedgerNest
IndependentLightweight billing workspace for small teams: invoice capture, approvals, and role-based dashboards. Cut manual entry by about half in a six-week pilot.
ReactPostgresOCRMulti-tenantSignalboard
NimbusOpsInternal evaluation harness for LLM agents — golden sets, regression diffs, and cost/latency dashboards used across three product squads.
PythonLangChainGrafanaCIExperience
Staff Product Engineer
2022 – PresentNimbusOpsSan FranciscoAI tooling for enterprise ops
- Led design and delivery of an LLM agent platform used by 10 internal teams; cut average task time from 22 min to 7 min.
- Owned end-to-end architecture: prompt contracts, tool calling, eval gates, and production observability.
- Partnered with PMs to turn ambiguous ops workflows into reliable product surfaces with clear success metrics.
- Mentored 4 engineers; introduced structured design docs and lightweight RFCs for cross-team changes.
Senior Full-Stack Engineer
2019 – 2022PebblePaySan Francisco- Built merchant onboarding and risk review tools processing 35k+ applications / month.
- Migrated a legacy jQuery admin to Next.js + typed APIs; improved median page load from 3.8s to 1.0s.
- Introduced contract tests between frontend and payment services, reducing integration incidents by ~65%.
Software Engineer
2016 – 2019Oak CircuitSeattle- Shipped multi-tenant SaaS dashboards for logistics customers across North America.
- Implemented real-time tracking views with WebSockets and map overlays.
- Improved CI pipeline from 26 min to 8 min via parallelization and selective builds.
Education
University of Washington
B.S. Computer Science · Magna Cum Laude2012 – 2016Languages
- English — Native
- Spanish — Conversational
- French — Basic
Modern Tech
Teal rules, project cards — the default tech resume
Riley Park
Product Manager · B2B SaaS · AI Features
Summary
PM with a technical background focused on AI-assisted productivity tools. Comfortable writing PRDs, running discovery interviews, and partnering closely with engineering on feasibility and sequencing.
Experience
Product Manager
2023 – PresentLumenfieldRemote- Own AI feature area for a B2B workflow product (ARR $9M).
- Shipped three GA AI features with clear retention lift on power-user cohort.
- Ran weekly discovery with CS and sales; turned noise into a prioritized opportunity backlog.
Associate PM / Engineer hybrid
2021 – 2023PaperkiteAustin- Transitioned from engineering into PM while still shipping frontend features.
- Led onboarding redesign that improved activation from 44% to 63%.
Projects
Relay Inbox
AI triage for support tickets. Defined success metrics, evaluation set, and rollout plan; reduced first-response time by 32%.
LLMSupport opsEvaluationSkills
Product: Discovery, Roadmapping, Metrics, User research · Technical literacy: SQL, APIs, LLM product patterns, A/B testing · Tools: Figma, Linear, Amplitude, NotionEducation
University of Texas at Austin
B.S. Information Systems2021Languages
- English — Native
- Korean — Conversational
Classic Serif
Centered name, thin rules — boardroom ready
Jordan Hale
Senior Product Engineer · Full-Stack · AI Systems
Summary
Full-stack engineer with 8+ years taking B2B products from sketch to production across payments, SaaS, and AI tooling. Bridges product discovery, system design, and hands-on implementation. Recently focused on LLM-powered workflows, structured data pipelines, and high-signal UX for professional tools.
Skills
Languages: TypeScript, Python, Go, SQL · Frontend: React, Next.js, Tailwind CSS, Zustand · Backend: Node.js, PostgreSQL, Redis, gRPC · AI / Data: OpenAI / Anthropic APIs, RAG pipelines, Prompt engineering, Eval harnesses · Infra: Docker, AWS, CI/CD, ObservabilityProjects
AI-assisted document editor that turns messy briefs into structured JSON, paginated print layouts, and prompt-based edits with pixel-stable PDF export.
Next.jsZodLLMPrint CSSLedgerNest
IndependentLightweight billing workspace for small teams: invoice capture, approvals, and role-based dashboards. Cut manual entry by about half in a six-week pilot.
ReactPostgresOCRMulti-tenantSignalboard
NimbusOpsInternal evaluation harness for LLM agents — golden sets, regression diffs, and cost/latency dashboards used across three product squads.
PythonLangChainGrafanaCIExperience
Staff Product Engineer
2022 – PresentNimbusOpsSan FranciscoAI tooling for enterprise ops
- Led design and delivery of an LLM agent platform used by 10 internal teams; cut average task time from 22 min to 7 min.
- Owned end-to-end architecture: prompt contracts, tool calling, eval gates, and production observability.
- Partnered with PMs to turn ambiguous ops workflows into reliable product surfaces with clear success metrics.
- Mentored 4 engineers; introduced structured design docs and lightweight RFCs for cross-team changes.
Senior Full-Stack Engineer
2019 – 2022PebblePaySan Francisco- Built merchant onboarding and risk review tools processing 35k+ applications / month.
- Migrated a legacy jQuery admin to Next.js + typed APIs; improved median page load from 3.8s to 1.0s.
- Introduced contract tests between frontend and payment services, reducing integration incidents by ~65%.
Software Engineer
2016 – 2019Oak CircuitSeattle- Shipped multi-tenant SaaS dashboards for logistics customers across North America.
- Implemented real-time tracking views with WebSockets and map overlays.
- Improved CI pipeline from 26 min to 8 min via parallelization and selective builds.
Education
University of Washington
B.S. Computer Science · Magna Cum Laude2012 – 2016Languages
- English — Native
- Spanish — Conversational
- French — Basic
Executive Navy
Deep navy authority, tight hierarchy, leadership CVs
Riley Park
Product Manager · B2B SaaS · AI Features
Summary
PM with a technical background focused on AI-assisted productivity tools. Comfortable writing PRDs, running discovery interviews, and partnering closely with engineering on feasibility and sequencing.
Experience
Product Manager
2023 – PresentLumenfieldRemote- Own AI feature area for a B2B workflow product (ARR $9M).
- Shipped three GA AI features with clear retention lift on power-user cohort.
- Ran weekly discovery with CS and sales; turned noise into a prioritized opportunity backlog.
Associate PM / Engineer hybrid
2021 – 2023PaperkiteAustin- Transitioned from engineering into PM while still shipping frontend features.
- Led onboarding redesign that improved activation from 44% to 63%.
Projects
Relay Inbox
AI triage for support tickets. Defined success metrics, evaluation set, and rollout plan; reduced first-response time by 32%.
LLMSupport opsEvaluationTwo Column
Skills rail + main experience column
Jordan Hale
Senior Product Engineer · Full-Stack · AI Systems
Summary
Full-stack engineer with 8+ years taking B2B products from sketch to production across payments, SaaS, and AI tooling. Bridges product discovery, system design, and hands-on implementation. Recently focused on LLM-powered workflows, structured data pipelines, and high-signal UX for professional tools.
Projects
AI-assisted document editor that turns messy briefs into structured JSON, paginated print layouts, and prompt-based edits with pixel-stable PDF export.
Next.jsZodLLMPrint CSSLedgerNest
IndependentLightweight billing workspace for small teams: invoice capture, approvals, and role-based dashboards. Cut manual entry by about half in a six-week pilot.
ReactPostgresOCRMulti-tenantSignalboard
NimbusOpsInternal evaluation harness for LLM agents — golden sets, regression diffs, and cost/latency dashboards used across three product squads.
PythonLangChainGrafanaCIExperience
Staff Product Engineer
2022 – PresentNimbusOpsSan FranciscoAI tooling for enterprise ops
- Led design and delivery of an LLM agent platform used by 10 internal teams; cut average task time from 22 min to 7 min.
- Owned end-to-end architecture: prompt contracts, tool calling, eval gates, and production observability.
- Partnered with PMs to turn ambiguous ops workflows into reliable product surfaces with clear success metrics.
- Mentored 4 engineers; introduced structured design docs and lightweight RFCs for cross-team changes.
Senior Full-Stack Engineer
2019 – 2022PebblePaySan Francisco- Built merchant onboarding and risk review tools processing 35k+ applications / month.
- Migrated a legacy jQuery admin to Next.js + typed APIs; improved median page load from 3.8s to 1.0s.
- Introduced contract tests between frontend and payment services, reducing integration incidents by ~65%.
Software Engineer
2016 – 2019Oak CircuitSeattle- Shipped multi-tenant SaaS dashboards for logistics customers across North America.
- Implemented real-time tracking views with WebSockets and map overlays.
- Improved CI pipeline from 26 min to 8 min via parallelization and selective builds.
Sidebar Slate
Full-height slate rail — product and ops hybrids
Riley Park
Product Manager · B2B SaaS · AI Features
Summary
PM with a technical background focused on AI-assisted productivity tools. Comfortable writing PRDs, running discovery interviews, and partnering closely with engineering on feasibility and sequencing.
Experience
Product Manager
2023 – PresentLumenfieldRemote- Own AI feature area for a B2B workflow product (ARR $9M).
- Shipped three GA AI features with clear retention lift on power-user cohort.
- Ran weekly discovery with CS and sales; turned noise into a prioritized opportunity backlog.
Associate PM / Engineer hybrid
2021 – 2023PaperkiteAustin- Transitioned from engineering into PM while still shipping frontend features.
- Led onboarding redesign that improved activation from 44% to 63%.
Projects
Relay Inbox
AI triage for support tickets. Defined success metrics, evaluation set, and rollout plan; reduced first-response time by 32%.
LLMSupport opsEvaluationSkills
DiscoveryRoadmappingMetricsUser researchSQLAPIsLLM product patternsA/B testingFigmaLinearAmplitudeNotionEducation
University of Texas at Austin
B.S. Information Systems2021Languages
- English — Native
- Korean — Conversational
Ink Banner
Full-width ink masthead — product leads who still want paper
Jordan Hale
Senior Product Engineer · Full-Stack · AI Systems
Summary
Full-stack engineer with 8+ years taking B2B products from sketch to production across payments, SaaS, and AI tooling. Bridges product discovery, system design, and hands-on implementation. Recently focused on LLM-powered workflows, structured data pipelines, and high-signal UX for professional tools.
Skills
Languages: TypeScript, Python, Go, SQL · Frontend: React, Next.js, Tailwind CSS, Zustand · Backend: Node.js, PostgreSQL, Redis, gRPC · AI / Data: OpenAI / Anthropic APIs, RAG pipelines, Prompt engineering, Eval harnesses · Infra: Docker, AWS, CI/CD, ObservabilityProjects
AI-assisted document editor that turns messy briefs into structured JSON, paginated print layouts, and prompt-based edits with pixel-stable PDF export.
Next.jsZodLLMPrint CSSLedgerNest
IndependentLightweight billing workspace for small teams: invoice capture, approvals, and role-based dashboards. Cut manual entry by about half in a six-week pilot.
ReactPostgresOCRMulti-tenantSignalboard
NimbusOpsInternal evaluation harness for LLM agents — golden sets, regression diffs, and cost/latency dashboards used across three product squads.
PythonLangChainGrafanaCIExperience
Staff Product Engineer
2022 – PresentNimbusOpsSan FranciscoAI tooling for enterprise ops
- Led design and delivery of an LLM agent platform used by 10 internal teams; cut average task time from 22 min to 7 min.
- Owned end-to-end architecture: prompt contracts, tool calling, eval gates, and production observability.
- Partnered with PMs to turn ambiguous ops workflows into reliable product surfaces with clear success metrics.
- Mentored 4 engineers; introduced structured design docs and lightweight RFCs for cross-team changes.
Senior Full-Stack Engineer
2019 – 2022PebblePaySan Francisco- Built merchant onboarding and risk review tools processing 35k+ applications / month.
- Migrated a legacy jQuery admin to Next.js + typed APIs; improved median page load from 3.8s to 1.0s.
- Introduced contract tests between frontend and payment services, reducing integration incidents by ~65%.
Software Engineer
2016 – 2019Oak CircuitSeattle- Shipped multi-tenant SaaS dashboards for logistics customers across North America.
- Implemented real-time tracking views with WebSockets and map overlays.
- Improved CI pipeline from 26 min to 8 min via parallelization and selective builds.
Education
University of Washington
B.S. Computer Science · Magna Cum Laude2012 – 2016Languages
- English — Native
- Spanish — Conversational
- French — Basic
Academic
Small-caps titles, left rules — research and faculty
Riley Park
Product Manager · B2B SaaS · AI Features
Summary
PM with a technical background focused on AI-assisted productivity tools. Comfortable writing PRDs, running discovery interviews, and partnering closely with engineering on feasibility and sequencing.
Experience
Product Manager
2023 – PresentLumenfieldRemote- Own AI feature area for a B2B workflow product (ARR $9M).
- Shipped three GA AI features with clear retention lift on power-user cohort.
- Ran weekly discovery with CS and sales; turned noise into a prioritized opportunity backlog.
Associate PM / Engineer hybrid
2021 – 2023PaperkiteAustin- Transitioned from engineering into PM while still shipping frontend features.
- Led onboarding redesign that improved activation from 44% to 63%.
Projects
Relay Inbox
AI triage for support tickets. Defined success metrics, evaluation set, and rollout plan; reduced first-response time by 32%.
LLMSupport opsEvaluationSkills
Product: Discovery, Roadmapping, Metrics, User research · Technical literacy: SQL, APIs, LLM product patterns, A/B testing · Tools: Figma, Linear, Amplitude, NotionEducation
University of Texas at Austin
B.S. Information Systems2021Languages
- English — Native
- Korean — Conversational
Compact ATS
Dense, plain, parser-safe — high-volume applications
FAQ
Questions people ask before uploading a CV
Do I have to pay to export a PDF?
No. Every feature is free right now — edit, AI, and PDF export. Sign in if you want a private cloud library you can reopen later.
Will the PDF match what I see on screen?
The preview and the export render the same A4 nodes through the same print stylesheet, so pagination is identical. What breaks across a page on screen breaks there in the file.
Are the templates ATS-friendly?
Every template is selectable text with semantic headings — no text baked into images. Compact ATS is the plainest option if a parser has rejected you before.
What can I import?
PDF, DOCX, TXT and Markdown files, or pasted plain text. You can also paste a LinkedIn profile — we read what you paste and never scrape the site.
Who can see my resume?
Nobody by default. Documents stay in your private library; a resume becomes reachable only when you mint a share link, and you can revoke that link at any time.
Do I need an account?
Only to save a private cloud library or mint a share link. Import, edit, AI, and PDF export work without signing in.