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Personal branding · Technology

Every profile in your field now says AI, so yours says nothing at all.

A hiring manager opens fifty profiles that all say AI, and the models you built belong to your employer.

Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

A professional shares her expertise in a recorded interview

In one paragraph

A hiring manager opens fifty profiles that all say AI, and the models you built belong to your employer. Personal branding here means proving judgement rather than tools. GullySales interviews you, writes your presence from what you said, and leaves your employer's data out of it.

Also written for

Data scientist, Data analyst, AI engineer, Machine learning engineer.

Where this sits

For data scientists and AI specialists

Where it usually goes wrong, and what we would do.

  • “The word has stopped carrying weight”

    A headline that says AI engineer tells a hiring manager only that you updated it recently. What separates two candidates is one problem described from beginning to end, including the six weeks when the data turned out to be wrong.

  • “Certificates prove attendance”

    A column of course badges is not evidence of anything. The business head who has to trust your model wants to know what you did on the day the result disagreed with what the sales team believed.

  • “Your training data is not yours”

    The dataset, the features and usually the model belong to your employer or to their customer. Publishing a few sample rows to illustrate a point can breach a contract, and where personal data is involved it becomes a much larger problem.

  • “Nobody writes about the interesting failures”

    Drift after launch, the pipeline that broke quietly for a month, the project that should have been a SQL query. Writing about those is how a sponsor decides you are safe to fund again.

What we do

What we deliver for data scientists and AI specialists.

Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.

  1. A profile about problems rather than tools

    Your bio rewritten around the questions you have answered and the decisions that followed them, with the tool list moved down to where it belongs.

    Result: A hiring manager reads problems you solved, not another list of the same stack. Before we start we note searches for your name, profile views and invitations received, so you can see what moves.

  2. A conversation on the project you would do differently

    The model you would rebuild now, or the result you had to explain three times before an operations team believed it. We write from that call, and the schedule is agreed in writing. We will not write figures, client names or code from your employer's systems, and we will not invent a result you did not have.

    Result: Drafts in your words, out of a call taken between stand-ups.

  3. One case study you are allowed to publish

    The problem, the approach and the result described in shape rather than in figures, rebuilt on public or synthetic data where the original cannot leave the company. For example, an ML engineer could rewrite a profile around a drift incident: a demand forecast that slowly stopped matching the warehouse, how it was spotted, and what was changed.

    Result: Something to put in front of a panel that is not a screenshot of a notebook.

  4. Writing for the people who fund models

    Plain pieces for a finance head or an operations head on what a model can and cannot promise, and what it costs to keep running month after month. Sometimes the honest answer is a rule and no model at all.

    Result: Pieces your sponsors can read before your next proposal, setting out what a model can and cannot promise.

  5. The peer side of your name

    A public repository, notebooks and answers in the places where your field argues, all under one identity instead of three.

    Result: One identity that collaborators and reviewers can find, with your repository, notebooks and answers linked from it.

How the result is measured

  • Enquiries that name you or came through your profile
  • Searches for your name, from Search Console
  • Profile views and connection requests from your industry
  • Speaking invitations, press enquiries and podcast requests
  • Posts published against posts planned, and what held up the rest

Recorded as a baseline before work starts, so every later report has an honest comparison.

How it works

How the work runs for data scientists and AI specialists

The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.

  1. 1

    Work out whether this is even your bottleneck

    The first conversation covers how enquiries reach you today. If the company's own site is the weaker link, that comes first, and we say so.

  2. 2

    Search your own name with you

    We look at what a buyer sees today: every profile, old listing and photograph. Some of it you will want taken down, and some of it only you can take down.

  3. 3

    Agree what you will and will not say

    The subjects you know cold, the ones that belong to your clients, and the lines your regulator or association draws. Written down before anything is published.

  4. 4

    Rebuild the profiles

    The bio page, LinkedIn and the directories that matter in your field, done once and done properly.

  5. 5

    The routine

    Interview, drafts, your approval, publication. The interview is the only part that needs you, and it is the part that cannot be skipped.

  6. 6

    Hand it over

    The subject list, the drafting notes and the calendar are yours. If you would rather keep it running yourself, that is a fair outcome.

Before you hire anyone

The first thing to do yourself.

It costs nothing, and it shows what a buyer sees before they ever call you.

  1. Search your own name and your practice or business name in a private browser window, and list the first ten results.
  2. Open your profile on each major platform and check that the name, photo, description and contact details agree.
  3. Ask two people who recently chose you what they looked up first, and write down their answers.

Judge any provider

What to ask any agency or ghost-writer.

Useful whoever you choose, including us.

  • Who writes my words, and do I approve everything before it goes out?
  • Which of my own details and claims will you need to check with me before publishing?
  • What will you not write because of the rules my profession follows?
  • Whose account do the profiles and the content sit in, and what happens to them if we stop?
  • What do you count as a result, and what will you not promise?

Where this fits

Three pieces of sales work, in this order.

GullySales builds every engagement from three pieces of sales work. This page is not one of them, but the same three steps apply to the business behind it.

  1. Step 1

    Sales audit

    Find where deals are being lost and what to fix first.

    Start here if you cannot say where orders are lost.

  2. Step 2

    Sales process design

    One written way to sell, from first enquiry to repeat order.

    Start here if every salesperson sells differently.

  3. Step 3

    Sales management

    A target, a review routine and someone who owns the number.

    Start here if the team has targets and no routine.

Tell us what you need Your brief is read before we call. Scope, fee and term in writing.

FAQ

Questions owners ask before they call.

Not here? More answers, or ask on WhatsApp.

Will this get me a remote or overseas role?
It helps at the shortlist stage and it does not replace applying. A hiring manager in another market cannot read your last employer's name the way an Indian one can, so a written record of how you work is the substitute. It is not quick. If you have not yet put a model in front of real users, do not buy this; there is nothing to interview you about.
What about the models I built at work?
Assume they are not yours to describe in detail. Your contract, and your employer's contract with their customer, decide what can be said. We agree the boundary before the first draft and keep figures out unless somebody with the authority has said yes in writing.
Can I not just use an AI writing tool for this?
You can, and your audience uses the same one. What no tool produces is the fortnight you lost to a broken join, or the reason you argued against the project in the first place. That part only comes out of the interview, and it is the part people remember.
How much does it cost?
There is no price list, because the work differs by business. The fee is scoped after we have read your brief and spoken to you, and put in writing before anything starts, split into our time, your media spend and production.
How long is the contract?
The term is agreed in writing after we have spoken, along with the fee and the reporting. It is never a default twelve months, and renewal is decided on the numbers against the baseline recorded at the start.
How soon will we see results?
It depends on what is being changed and how many of the people who matter see it. After we have read your brief and spoken to you, we say what we would expect to move first and how it will be measured against the baseline. Nothing here is guaranteed.
Who will actually do the work?
The person you speak to before anything starts. We work from one office in Nagarbhavi, Bengaluru, with no account managers in between.
What do you need from us?
Your brief, and a conversation. After that, access to whatever the work touches, such as your profiles, your website or your accounts, and time with the people who can answer our questions.
What if we are not happy with the work?
Tell us and the plan changes. Everything is reported against the baseline, so a number that is not moving is visible to both sides. The term is in your written scope, and the refund and cancellation policy sets out the rest.

Your next practical step

Tell us what you are trying to grow, and we will read it before we call.

Eight short steps, mostly taps. Skip anything you would rather answer on the call.