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Profile introductions tailored to an opening.

Help recruiters understand relevant experience.

Where this work fits

A person’s experience can suit an opening without that connection being obvious in a general profile. I worked on making the introduction and experience descriptions more relevant to the role, while keeping the original career history intact.

MY CONTRIBUTION

I built AI-assisted introductions and experience presentation for a particular opening, along with the product views and tailored résumé output. The original experience remained the factual source. I also worked on evaluating whether the new presentation helped reviewed candidates progress toward a conversation.

THE IDEA, ILLUSTRATED

Bring relevant experience into view

Alex OkaforSoftware engineer
Tailoring forPlatform engineer

Before

“I work across onboarding, inventory tools and product data.”

01
Customer onboardingProduct experiments
02
Backend APIsInventory tools
03
Background jobsProduct-data sync

After · tailored introduction

I build
backend APIs
and
background jobsfor inventory and product data.

010203 All experience kept

The right experience, brought forward.

The tailored introduction brings relevant experience forward from the original profile. The emphasis changes; the qualifications stay the same.

THE ENGINEERING DECISION

A useful rewrite still has to be true.

The model could borrow a skill from the job description that the candidate had never claimed. Checks had to preserve titles, figures, and supporting experience. There was also a waiting problem: I used priority queues and concurrency control so a profile being opened could take the next available generation slot.

The skills behind the work

Scala
Backend development within established services, including asynchronous work and integration boundaries.
Structured LLM output
Give generated content a predictable shape the application can validate and use.
Product experiments
Compare product behavior to learn whether a change helps users progress.
THE WIDER RESULT

The profile experiment showed more reviewed candidates progressing to a conversation. The work improved how experience was presented and tested that change against what people did next.

Candidate shortlists
+22%Increase in recruiter shortlists in profile-optimization experiments.
Candidate rejections
−20%Reduction observed in the profile-optimization experiments.
READ THIS IN CONTEXTI brought relevant experience forward without changing the facts. →
Related contributionsGiving an opened profile priorityI used concurrency control and priority queues to give a profile being reviewed precedence over waiting background generation. The original profile stayed usable while processing continued. Shared work also avoided launching the same generation again for another request.Keeping generated profiles faithful to experienceI worked on prompts and checks that preserved career facts in generated profile content. Job titles and figures needed to remain faithful to the source, and a requirement in the opening could not become a claim about the candidate without supporting experience.From résumé import to an application-ready profileI connected résumé and profile preparation with the application flow. Generation needed to wait for imported information, and the screen needed to reflect actual readiness. I worked on waiting, retry, and failure states so candidates could continue from the result available to them.Refining a job description without losing the briefI connected AI-assisted role-description generation with the original brief and its refinement history. Later edits needed to build on that context, while generation needed enough source material to produce a useful description.