Former AI/ML Data Analyst at Apple · HR graduate

Murilo
Lopes

Bridging people, process and data.

Recent graduate in HR, Management & Organisational Psychology, with a year of large-scale data-quality and process work at Apple behind me. Trilingual, and looking for the next role where people, process and data meet.

90%

accuracy across 10+ concurrent projects

1,000+

data points handled daily

3

fluent languages — Norwegian, English & Portuguese

Get in touch See my work Download CV ↓

People at the center — data in orbit

Selected work · Personal project

Automating my own job search, and finding where automation stops working

I built an AI agent to run my job search end to end. Testing it showed me where AI helps and where a person has to stay in charge.

The goal

Hand a real, high-volume task to AI: find relevant openings, tailor my CV to each one, and send applications to hundreds of companies.

What happened

Full automation produced worse results. The agent couldn’t judge whether a role was a genuine fit, and it couldn’t make honest calls about gaps in my experience.

What I changed

I rebuilt the workflow with a human in the loop. AI handles the groundwork; I decide whether to apply, how to handle gaps, and the final wording. Nothing is sent without my check.

Find openings→ Draft & tailor→ Decide: fit, gaps, wording→ Approve & send

Outlined steps are handled by AI · filled steps are my decisions

The story in four chapters ↓

Murilo Lopes
I.

Lisboa. Born in Portugal. Leaving it young made me a student of cultures before I ever chose a degree.

II.

Bergen. Raised in Norway, fascinated by how differently people think, lead and trust across cultures. Studied HR, management & organisational psychology at BI — and got a first taste of recruitment, finding and introducing candidates to a subgroup of BI’s table tennis group.

III.

Daegu. An exchange semester at Keimyung University, South Korea — researching how European and Asian work cultures differ, and volunteering as an English teacher.

IV.

Cork. New country, new field — a year of data-quality work at Apple's European headquarters. Which brings us to the work —

Experience

The work

Tap a role to expand

  • Quality-checked over 1,000 data points daily across 10+ concurrent projects at 90% accuracy, turning errors into structured feedback engineers used to improve the models.
  • Trained sceptical colleagues on a new AI tool with hands-on guidance and follow-up, until they used it on their own.
  • Gave needs-based advice in a busy flagship store: active listening, difficult conversations and clear communication of terms and policy.
  • Ranked the store’s top seller four consecutive months, measured by sales per hour worked.
  • Worked with suppliers and colleagues to keep product information correct across systems.
  • Built from scratch as a single HTML file, including the 3D scene, with no prior web development experience.

Education · 2022 — 2025

BSc HR, Management & Organisational Psychology

BI Norwegian Business School · Bergen

Organisational psychology, recruitment and selection, and research methods — including a mixed-methods study with regression and cluster analysis in JMP.

Exchange · 2024

Keimyung University

South Korea

Comparative research on European and Asian work cultures — plus volunteering as an English teacher, in nursing homes and in community work.

Certifications

Generative AI for HR
Where AI and people work meet.
Digital Marketing & E-commerce — Google
Design-Led Strategy — University of Sydney
Present with Purpose — IBM

Volunteer & committee work

Inclusion & Diversity committee, Apple Cork — helped communicate and set up the team’s ideas during I&D Week.

Apple, Cork — volunteer supporting children with Down syndrome.

Keimyung volunteer group, South Korea — English teacher and group volunteer: nursing homes, litter clean-ups, animal welfare.

Data qualityAI agentsResearch methodsRecruitment & selectionExcelJMPG*PowerOffice 365NorskEnglishPortuguêsEspañolFrançaisGenerative AI for HR (IBM)

Still growing

Early in the path, and honest about it.

I have one year of professional experience, and I'm not pretending otherwise. The direction is clear: work where people, process and data meet — where my degree and my year at Apple both point.

Murilo in Bergen
OLÁ · HEI · HELLO · 안녕 · LISBOA → BERGEN → DAEGU → CORK · PEOPLE · PROCESS · DATA · OLÁ · HEI · HELLO · 안녕 · LISBOA → BERGEN → DAEGU → CORK · PEOPLE · PROCESS · DATA ·

What’s next

Let's connect.

Hiring for roles in HR, operations, or AI and data? Or working in a field I've been part of? I answer every message.

Email me LinkedIn Download CV ↓

Lisboa · Bergen · Daegu · Cork