Personalized precision.

Hiris transforms your career data into an intelligent Master Profile, refined by our AI interview agent, to automatically generate ATS-beating, role-tailored CVs instantly.

Generate your first personalized CV

Import your CV

PDF or DOCX · We'll extract everything

Choose file

or drag & drop here

Why ATS Software Rejects 80% of Resumes

How AI Tailors Your CV to Job Descriptions

Three steps from raw CV to a job-winning application.

SEED 01

Upload your CV

Drop your existing CV (PDF or DOCX) or paste your LinkedIn profile URL. Our AI instantly extracts your full career history, skills, and achievements into a structured Master Profile.

Can you elaborate on how you reduced latency by 40%?

Implemented Redis caching layer and optimized slow SQL queries using composite indexes.

SEED 02

AI interview

A targeted AI interview fills the gaps — quantifying achievements, capturing context, and building a comprehensive profile no template can match.

98% MATCH

SEED 03

Generate tailored CVs

Paste any job posting. Get a perfectly tailored, ATS-optimized CV generated in seconds — ready to download as PDF.

— BENEFITS

Built to get you hired.

ATS

100% ATS Compliant

Every CV Hiris generates is validated against ATS parsing rules — correct formatting, targeted keywords, zero compliance gaps.

Learn how it works→

Precision Matching

Hiris doesn't reformat your CV — it rebuilds it around each job description, selecting only what the hiring team actually needs to see.

Learn how it works→

Architecture

Curated Frameworks

Engineered layouts optimised for ATS parsing and human readability.

4 templates · 3 with photo support

Sara Mitchell

Product Manager

+1 (415) 882-3301•sara.mitchell@gmail.com•linkedin.com/saramitchell•San Francisco, CA

Summary

Strategic product leader with 7 years driving B2B SaaS growth. Skilled at translating customer research into roadmap priorities and shipping impactful features cross-functionally.

Experience

NotionSan Francisco, CA

Senior Product ManagerMar 2021 - Present

Owned the Databases product area — shipped 6 major features used by 2.1M+ workspaces, increasing weekly active use by 38%.
Partnered with engineering and design to reduce onboarding drop-off by 22% through guided templates and improved empty states.
Drove alignment across 4 teams on a unified search strategy, cutting average task-completion time by 31%.
Defined and tracked OKRs for 3 consecutive quarters, achieving 91% goal attainment across the product area.

IntercomRemote

Product ManagerJun 2018 - Feb 2021

Led the Inbox redesign — reduced average response time by 18% and earned a 4.7/5 CSAT from 12k support agents.
Launched a proactive messaging feature that generated $2.4M ARR in its first year.
Conducted 40+ customer discovery interviews to shape a 12-month roadmap, reducing churn by 11% for mid-market accounts.
Collaborated with data science to build an intent-signal model that improved trial-to-paid conversion by 14%.

SalesforceSan Francisco, CA

Associate Product ManagerAug 2015 - May 2018

Supported roadmap planning for the Marketing Cloud analytics module, contributing to a feature set used by 8,000+ enterprise customers.
Wrote detailed PRDs and user stories that reduced scope-creep by 30% across a cross-functional squad of 12.
Ran bi-weekly sprint reviews and coordinated UAT cycles, enabling on-time launches across 4 consecutive quarters.

Education

Stanford GSB2016 – 2018

MBA — Product & Strategy

UC Berkeley2012 – 2016

BA Economics

Achievements

Important Achievement

Forbes 30 Under 30 — Enterprise Technology, 2023.

Important Achievement

Increased NPS from 32 to 61 across Notion's core product in 18 months.

Important Achievement

Speaker at ProductCon SF 2022 — talk on AI-assisted roadmap prioritisation attended by 900+ PMs.

Skills

Product Strategy - Roadmapping - SQL - Figma - User Research - A/B Testing - Agile / Scrum - Confluence - Amplitude - Mixpanel - Jira - Stakeholder Management

Languages

English - Native - French - B2 - Spanish - A2

Courses

Reforge Product Strategy Programme: 8-week cohort covering growth loops, retention frameworks, and monetisation strategy.
Udacity SQL for Data Analysis: Hands-on course covering window functions, CTEs, and query optimisation for product analytics.

Classic MonochromeClean, ATS-optimised single-column layout

ATS-ReadyClassic

James Okafor

Data Scientist

+44 7700 182 045james.okafor@outlook.comlinkedin.com/in/jamesokaforLondon, UK

Summary

Data scientist specialising in NLP and recommendation systems. 5 years building production ML pipelines at scale in fintech and e-commerce environments.

Key Achievements

Best Paper

RecSys 2022 industry track for personalised fashion recommendations, beating 94 submissions.

Deployment speed

Reduced ML model deployment cycle from 3 weeks to 2 days by introducing a shared feature store.

Cost saving

Eliminated £380k/year in cloud spend by migrating batch Spark jobs to serverless Glue pipelines.

Open source

Maintainer of mlflow-utils (1.2k GitHub stars), a toolkit for experiment tracking and model registry automation.

Courses

Deep Learning Specialisation (Coursera / DeepLearning.AI)

5-course series covering CNNs, RNNs, transformers and MLOps foundations.

Full Stack Deep Learning (UC Berkeley)

End-to-end ML systems covering data pipelines, training infrastructure and model serving.

Causal Inference for Data Scientists (DataCamp)

Structural causal models, do-calculus, and A/B experiment design.

Certifications

AWS Certified ML — Specialty
Google Professional Data Engineer
Databricks Certified Associate Developer for Apache Spark

Languages

English - Native
Yoruba - Native
French - B1
German - A2

Experience

Senior Data Scientist

Revolut

Sep 2021 - PresentLondon, UK

Built a real-time fraud detection model (XGBoost + feature store) processing 4M transactions/day with a 97.3% precision score.
Reduced false-positive fraud flags by 41%, saving the ops team ~1,200 manual review hours per month.
Mentored 3 junior data scientists and established team-wide MLOps standards using MLflow and Airflow.
Designed an automated model-monitoring pipeline that cut mean time-to-detect drift from 6 days to 4 hours.

Data Scientist

ASOS

Jan 2019 - Aug 2021London, UK

Developed a personalised product ranking model (LightGBM) that lifted add-to-basket rate by 14% across 23M users.
Automated size recommendation with a collaborative-filtering approach, cutting return rates by 9%.
Built an NLP pipeline (BERT fine-tuned) to auto-tag 2M+ product descriptions, reducing manual tagging effort by 80%.
Led A/B testing framework rollout — increased experiment throughput from 3 to 18 simultaneous tests per month.

Junior Data Analyst

Deloitte

Sep 2016 - Dec 2018London, UK

Analysed customer segmentation data for a FTSE 100 retail client, identifying £4.2M in untapped cross-sell revenue.
Built automated Tableau dashboards that replaced 12 hours/week of manual Excel reporting for senior stakeholders.
Developed churn propensity models in R that improved retention campaign targeting precision by 23%.

Skills

PythonPyTorchTensorFlowSQLSparkAirflowMLflowAWS SageMakerKubernetesdbtTableauR

Education

MSc Machine Learning

UCL

2017 – 2018

BSc Mathematics

University of Warwick

2013 – 2017

Color SidebarTwo-column sidebar with customizable accent color

PhotoTwo-Column

Elena Vasquez

UX / Product Designer

+34 612 773 291

elena.vasquez@me.com

linkedin.com/elenavasquezux

Barcelona, Spain

Summary

Creative UX designer with a systems-thinking approach to product interfaces. 6 years crafting end-to-end digital experiences for fintech, health-tech, and e-commerce products.

Experience

Lead Product Designer

Factorial HR

Jan 2022 - Present

Barcelona

Redesigned the employee onboarding flow — task completion rose from 54% to 89%, earning a 4.8 App Store rating.
Built and documented a 400-component design system in Figma, adopted by 12 product squads in 3 months.
Ran 60+ usability sessions and synthesised findings into a prioritised opportunity map used by the CPO.
Introduced motion design principles and micro-interaction guidelines that reduced perceived load time by 18% in user testing.

UX Designer

Typeform

Apr 2019 - Dec 2021

Barcelona

Redesigned the form logic builder — reduced average creation time by 27% and cut support tickets by 33%.
Collaborated with engineers to ship accessible, WCAG AA–compliant components across the core product.
Ran diary studies and tree-testing sessions with 120 participants to validate a new information architecture.
Championed a mobile-first redesign of the respondent experience, improving mobile completion rates by 21%.

Junior UX / UI Designer

Zara Digital (Inditex)

Jul 2017 - Mar 2019

Barcelona

Designed new product-listing and checkout flows for Zara.com, contributing to a 12% uplift in mobile conversion.
Created high-fidelity prototypes in Sketch and InVision for A/B tests validated with 500+ real users.
Produced icon sets and illustration libraries used across 6 Inditex brand websites.

Education

Master in Interaction Design

Escola Superior de Disseny (ESDI)

2017 – 2019

BA Fine Art & Digital Media

Universitat de Barcelona

2013 – 2017

Languages

SpanishNative

CatalanNative

EnglishC1

FrenchB1

PortugueseA2

Skills

FigmaFramerPrototypingUser ResearchDesign SystemsAccessibility (WCAG)HTML / CSSMotion DesignUsability TestingInformation ArchitectureAdobe Creative SuiteStorybook

Professional BlueCorporate header with strong hierarchy

CorporatePhoto

Contacts

+46 70 234 56 78

Stockholm, Sweden

m.lindqvist@proton.me

marcuslindqvist

Summary

Full-stack engineer passionate about developer experience and clean architecture. Built and scaled SaaS platforms from 0 to 100k users, with deep expertise in React, Node.js, and cloud infrastructure.

Languages

Swedish - Native

English - C2

German - B1

Norwegian - A2

Key Achievements

Focus highlight

AWS Solutions Architect – Professional

Focus highlight

Certified Kubernetes Application Developer (CKAD)

Marcus Lindqvist

Full-Stack Engineer

Experience

Klarna

Senior Software Engineer

May 2022 - Present

•Architected the self-serve merchant portal (Next.js + tRPC) used by 18k active merchants across 45 countries.
•Reduced CI/CD pipeline runtime from 24 min to 6 min by introducing parallelised testing and shared caching layers.
•Led performance audit that improved Core Web Vitals LCP from 4.2 s to 0.9 s, improving SEO ranking for key pages.
•Designed a feature-flag system using LaunchDarkly that enabled zero-downtime progressive rollouts across all merchant tiers.

King

Full-Stack Developer

Aug 2019 - Apr 2022

•Built the internal analytics dashboard (React + D3) visualising real-time telemetry from 200M+ daily game events.
•Migrated a legacy PHP monolith to Node.js microservices, cutting hosting costs by 35%.
•Introduced end-to-end testing with Playwright, growing coverage from 0% to 72% and eliminating a class of regression bugs.
•Owned the real-time notification service (WebSocket + Redis Pub/Sub) delivering 40M+ push events per day with 99.97% uptime.

Spotify

Frontend Developer

Jun 2016 - Jul 2019

•Built and shipped 3 major features in the Web Player (React) used by 180M+ monthly active users.
•Reduced JavaScript bundle size by 38% through code-splitting, tree-shaking and lazy-loading strategies.
•Collaborated with design systems team to migrate 60+ components to a shared token-based design language.

Education

KTH Royal Institute of Technology

MSc Computer Science

2017 – 2019

Uppsala University

BSc Software Engineering

2013 – 2017

Skills

TypeScript•React•Next.js•Node.js•tRPC•PostgreSQL•Redis•Terraform•AWS•Docker / Kubernetes•GraphQL•Playwright

Creative Blob PhotoSoft organic shapes with prominent photo

CreativePhoto

Sara Mitchell

Product Manager

+1 (415) 882-3301•sara.mitchell@gmail.com•linkedin.com/saramitchell•San Francisco, CA

Summary

Strategic product leader with 7 years driving B2B SaaS growth. Skilled at translating customer research into roadmap priorities and shipping impactful features cross-functionally.

Experience

NotionSan Francisco, CA

Senior Product ManagerMar 2021 - Present

Owned the Databases product area — shipped 6 major features used by 2.1M+ workspaces, increasing weekly active use by 38%.
Partnered with engineering and design to reduce onboarding drop-off by 22% through guided templates and improved empty states.
Drove alignment across 4 teams on a unified search strategy, cutting average task-completion time by 31%.
Defined and tracked OKRs for 3 consecutive quarters, achieving 91% goal attainment across the product area.

IntercomRemote

Product ManagerJun 2018 - Feb 2021

Led the Inbox redesign — reduced average response time by 18% and earned a 4.7/5 CSAT from 12k support agents.
Launched a proactive messaging feature that generated $2.4M ARR in its first year.
Conducted 40+ customer discovery interviews to shape a 12-month roadmap, reducing churn by 11% for mid-market accounts.
Collaborated with data science to build an intent-signal model that improved trial-to-paid conversion by 14%.

SalesforceSan Francisco, CA

Associate Product ManagerAug 2015 - May 2018

Supported roadmap planning for the Marketing Cloud analytics module, contributing to a feature set used by 8,000+ enterprise customers.
Wrote detailed PRDs and user stories that reduced scope-creep by 30% across a cross-functional squad of 12.
Ran bi-weekly sprint reviews and coordinated UAT cycles, enabling on-time launches across 4 consecutive quarters.

Education

Stanford GSB2016 – 2018

MBA — Product & Strategy

UC Berkeley2012 – 2016

BA Economics

Achievements

Important Achievement

Forbes 30 Under 30 — Enterprise Technology, 2023.

Important Achievement

Increased NPS from 32 to 61 across Notion's core product in 18 months.

Important Achievement

Speaker at ProductCon SF 2022 — talk on AI-assisted roadmap prioritisation attended by 900+ PMs.

Skills

Product Strategy - Roadmapping - SQL - Figma - User Research - A/B Testing - Agile / Scrum - Confluence - Amplitude - Mixpanel - Jira - Stakeholder Management

Languages

English - Native - French - B2 - Spanish - A2

Courses

Reforge Product Strategy Programme: 8-week cohort covering growth loops, retention frameworks, and monetisation strategy.
Udacity SQL for Data Analysis: Hands-on course covering window functions, CTEs, and query optimisation for product analytics.

Classic MonochromeClean, ATS-optimised single-column layout

ATS-ReadyClassic

James Okafor

Data Scientist

+44 7700 182 045james.okafor@outlook.comlinkedin.com/in/jamesokaforLondon, UK

Summary

Data scientist specialising in NLP and recommendation systems. 5 years building production ML pipelines at scale in fintech and e-commerce environments.

Key Achievements

Best Paper

RecSys 2022 industry track for personalised fashion recommendations, beating 94 submissions.

Deployment speed

Reduced ML model deployment cycle from 3 weeks to 2 days by introducing a shared feature store.

Cost saving

Eliminated £380k/year in cloud spend by migrating batch Spark jobs to serverless Glue pipelines.

Open source

Maintainer of mlflow-utils (1.2k GitHub stars), a toolkit for experiment tracking and model registry automation.

Courses

Deep Learning Specialisation (Coursera / DeepLearning.AI)

5-course series covering CNNs, RNNs, transformers and MLOps foundations.

Full Stack Deep Learning (UC Berkeley)

End-to-end ML systems covering data pipelines, training infrastructure and model serving.

Causal Inference for Data Scientists (DataCamp)

Structural causal models, do-calculus, and A/B experiment design.

Certifications

AWS Certified ML — Specialty
Google Professional Data Engineer
Databricks Certified Associate Developer for Apache Spark

Languages

English - Native
Yoruba - Native
French - B1
German - A2

Experience

Senior Data Scientist

Revolut

Sep 2021 - PresentLondon, UK

Built a real-time fraud detection model (XGBoost + feature store) processing 4M transactions/day with a 97.3% precision score.
Reduced false-positive fraud flags by 41%, saving the ops team ~1,200 manual review hours per month.
Mentored 3 junior data scientists and established team-wide MLOps standards using MLflow and Airflow.
Designed an automated model-monitoring pipeline that cut mean time-to-detect drift from 6 days to 4 hours.

Data Scientist

ASOS

Jan 2019 - Aug 2021London, UK

Developed a personalised product ranking model (LightGBM) that lifted add-to-basket rate by 14% across 23M users.
Automated size recommendation with a collaborative-filtering approach, cutting return rates by 9%.
Built an NLP pipeline (BERT fine-tuned) to auto-tag 2M+ product descriptions, reducing manual tagging effort by 80%.
Led A/B testing framework rollout — increased experiment throughput from 3 to 18 simultaneous tests per month.

Junior Data Analyst

Deloitte

Sep 2016 - Dec 2018London, UK

Analysed customer segmentation data for a FTSE 100 retail client, identifying £4.2M in untapped cross-sell revenue.
Built automated Tableau dashboards that replaced 12 hours/week of manual Excel reporting for senior stakeholders.
Developed churn propensity models in R that improved retention campaign targeting precision by 23%.

Skills

PythonPyTorchTensorFlowSQLSparkAirflowMLflowAWS SageMakerKubernetesdbtTableauR

Education

MSc Machine Learning

UCL

2017 – 2018

BSc Mathematics

University of Warwick

2013 – 2017

Color SidebarTwo-column sidebar with customizable accent color

PhotoTwo-Column

Elena Vasquez

UX / Product Designer

+34 612 773 291

elena.vasquez@me.com

linkedin.com/elenavasquezux

Barcelona, Spain

Summary

Creative UX designer with a systems-thinking approach to product interfaces. 6 years crafting end-to-end digital experiences for fintech, health-tech, and e-commerce products.

Experience

Lead Product Designer

Factorial HR

Jan 2022 - Present

Barcelona

Redesigned the employee onboarding flow — task completion rose from 54% to 89%, earning a 4.8 App Store rating.
Built and documented a 400-component design system in Figma, adopted by 12 product squads in 3 months.
Ran 60+ usability sessions and synthesised findings into a prioritised opportunity map used by the CPO.
Introduced motion design principles and micro-interaction guidelines that reduced perceived load time by 18% in user testing.

UX Designer

Typeform

Apr 2019 - Dec 2021

Barcelona

Redesigned the form logic builder — reduced average creation time by 27% and cut support tickets by 33%.
Collaborated with engineers to ship accessible, WCAG AA–compliant components across the core product.
Ran diary studies and tree-testing sessions with 120 participants to validate a new information architecture.
Championed a mobile-first redesign of the respondent experience, improving mobile completion rates by 21%.

Junior UX / UI Designer

Zara Digital (Inditex)

Jul 2017 - Mar 2019

Barcelona

Designed new product-listing and checkout flows for Zara.com, contributing to a 12% uplift in mobile conversion.
Created high-fidelity prototypes in Sketch and InVision for A/B tests validated with 500+ real users.
Produced icon sets and illustration libraries used across 6 Inditex brand websites.

Education

Master in Interaction Design

Escola Superior de Disseny (ESDI)

2017 – 2019

BA Fine Art & Digital Media

Universitat de Barcelona

2013 – 2017

Languages

SpanishNative

CatalanNative

EnglishC1

FrenchB1

PortugueseA2

Skills

FigmaFramerPrototypingUser ResearchDesign SystemsAccessibility (WCAG)HTML / CSSMotion DesignUsability TestingInformation ArchitectureAdobe Creative SuiteStorybook

Professional BlueCorporate header with strong hierarchy

CorporatePhoto

Contacts

+46 70 234 56 78

Stockholm, Sweden

m.lindqvist@proton.me

marcuslindqvist

Summary

Languages

Swedish - Native

English - C2

German - B1

Norwegian - A2

Key Achievements

Focus highlight

AWS Solutions Architect – Professional

Focus highlight

Certified Kubernetes Application Developer (CKAD)

Marcus Lindqvist

Full-Stack Engineer

Experience

Klarna

Senior Software Engineer

May 2022 - Present

•Architected the self-serve merchant portal (Next.js + tRPC) used by 18k active merchants across 45 countries.
•Reduced CI/CD pipeline runtime from 24 min to 6 min by introducing parallelised testing and shared caching layers.
•Led performance audit that improved Core Web Vitals LCP from 4.2 s to 0.9 s, improving SEO ranking for key pages.
•Designed a feature-flag system using LaunchDarkly that enabled zero-downtime progressive rollouts across all merchant tiers.

King

Full-Stack Developer

Aug 2019 - Apr 2022

•Built the internal analytics dashboard (React + D3) visualising real-time telemetry from 200M+ daily game events.
•Migrated a legacy PHP monolith to Node.js microservices, cutting hosting costs by 35%.
•Introduced end-to-end testing with Playwright, growing coverage from 0% to 72% and eliminating a class of regression bugs.
•Owned the real-time notification service (WebSocket + Redis Pub/Sub) delivering 40M+ push events per day with 99.97% uptime.

Spotify

Frontend Developer

Jun 2016 - Jul 2019

•Built and shipped 3 major features in the Web Player (React) used by 180M+ monthly active users.
•Reduced JavaScript bundle size by 38% through code-splitting, tree-shaking and lazy-loading strategies.
•Collaborated with design systems team to migrate 60+ components to a shared token-based design language.

Education

KTH Royal Institute of Technology

MSc Computer Science

2017 – 2019

Uppsala University

BSc Software Engineering

2013 – 2017

Skills

TypeScript•React•Next.js•Node.js•tRPC•PostgreSQL•Redis•Terraform•AWS•Docker / Kubernetes•GraphQL•Playwright

Creative Blob PhotoSoft organic shapes with prominent photo

CreativePhoto

Interactive Functional Artifacts

The Hiris Triad

Experience Extracted8 Roles

Skills Parsed45 Tech

Timeline Matched100% Valid

Master Profile Extraction

We ingest your existing CVs and scattered notes, structuring them into a single, comprehensive database of your professional history.

AI Interview Feed

Intelligent AI Interview

Our conversational agent asks targeted questions to extract missing achievements and contextualize your impact, padding the Master Profile.

Target RoleSenior Data Analyst · Amazon

85%

PythonSQLTableau

ATS-Targeted Generation

Provide a job description, and Hiris dynamically compiles a tailored CV matching the exact keywords and format expected by ATS systems.

Most resume builders focus on: generic templates and static formatting.

We focus on: targeted positioning generated dynamically for every single application.

— PRICING

Simple, transparent pricing

Start free, upgrade when you need more.

FREE

$0forever

For individuals getting started.

1 Master Profile

5 tailored CVs / month

DOCX export

GET STARTED

PRO

$9per month

For active job seekers.

1 Master Profile

Unlimited tailored CVs

DOCX export + PDF templates

Priority AI processing

START FREE TRIAL

Ready to optimize?

Generate your first personalized CV