Applied AI Lead at PadelOS · building h9k · Pakistan

Nasik Abbas

Building AI products that work in real businesses, not just in the lab.

Plenty of AI looks impressive in a demo. The harder part is making it hold up with real customers, real data and busy staff, and knowing with numbers whether it actually helps.

That is the work at PadelOS, where PadelGPT answers players for padel clubs in nine countries. Players get a first answer in a median of 9.7 seconds, against 4.8 hours from club staff.

The road here ran through solar engineering, management consulting and three startups, which keeps the questions practical: does it work, who does it help, and what does it change?

Proof, in plain numbers

  • AI product

    9.7 secondsvs4.8 hours

    Median time to a first answer for players: from PadelGPT, and from club staff. Across 15 clubs, summer 2026.

    Check the source

  • AI quality

    28 of 40

    Real player questions where a reviewer, not told which reply was which, rated PadelGPT's answer as good as the club's own, or better.

    Limit: One club, 40 questions, first replies only, in English and Dutch. With a sample this size, the true share is likely between 55% and 82%.

    Check the source

  • Consulting

    6 industries

    Construction materials, technical textiles, light engineering, cutlery, cosmetics and microfinance — for government programmes and manufacturers.

  • Startup

    1,500

    Paying users in six weeks for Schooling Studio, an AI maths tutor, with no paid advertising.

What the work looks like

AI that people use

PadelGPT answers players in their own language, day or night, from each club's live bookings, prices and rules. In its first two months, 461 players held more than 660 conversations with it.

Measured against real work

Results are checked against the people the AI helps, on the same questions, and shared with their limits. The support study compared PadelGPT and club staff on every message players sent over a summer.

From idea to launch

Research, business case, build and rollout — in Pakistan, in Saudi Arabia, and for clubs across Europe, the Middle East, Asia and Australia.

What we're building now

Next, PadelGPT takes on the admin work that keeps club staff busy, such as moving a booking or fixing a payment. A staff member approves each action before it happens. The support study showed that this is where most of the remaining work sits.

Along the way we keep notes on what holds up in production. How do you evaluate an assistant fairly? How do you keep what it knows current? When should a person make the call? Two of those notes are now essays, on the Writing page.

Experience

Jan 2024 – present

PadelOS

Software that padel clubs use to run bookings, payments and their player app. Based in Amsterdam.

Building h9k

Oct 2026 – present

h9k is a new product at Moonlabor, the company PadelOS was spun out of. It is in early development.

  • The idea in one line: ask your colleague's AI assistant instead of interrupting them.

Applied AI Lead, PadelGPT

Jan 2025 – present

PadelGPT is the AI assistant inside PadelOS. It answers players in their own language, at any hour, from each club's live bookings, prices and rules.

  • Answers in eight languages. 85% of conversations were answered outright, and where players could choose, 36% already came to PadelGPT rather than club staff.
  • Led the study that compared PadelGPT with club support staff across all 1,457 messages players sent over a summer. PadelOS published it.
  • A segmentation tool turns a club manager's request, written in plain words, into the right customer list for a campaign. Its use grew 7× in three months.
  • 33 releases to production in six weeks, each tested in stages before it reached clubs.

Product Manager, Pollen

Jan 2024 – Jan 2025

Pollen tracked food from farm to shop in Saudi Arabia, so supply problems and spoilage could be caught early. It was built at Moonlabor, the company PadelOS was later spun out of.

  • Rolled it out on the ground across Riyadh, Jeddah and Dammam–Khobar. Chose where trackers went, fitted them to the refrigerated vehicles and warehouses of food distributors and a supermarket chain, and trained clients and drivers.
  • Built a fleet simulator from routes and delivery patterns in real logistics data, so the team could test the system day and night without hardware.
  • Designed the alerting: unusual events are flagged, ranked and paired with a recommended action, and a person makes the final call.

Apr 2021 – Dec 2023

Founder

Three companies in three years, in property investing, education and medical technology.

Spectre Bionics · Founder and CEO

Jan – Dec 2023

A medical-technology startup working to restore sight through a brain‑computer interface.

  • Its first product let people with paralysis control a computer with their eyes.
  • Built the research team, starting with a prospective co‑founder from MIT.

Schooling Studio · Technical Co-founder

Apr 2021 – Mar 2023

An AI maths tutor for school students: photograph a question and get the solution, explained step by step.

  • Built on the same kind of AI as ChatGPT, before ChatGPT launched.
  • 1,500 paying users in six weeks, with no paid advertising.
  • Raised about $2 million in cloud and software credits from AWS, Segment, Mixpanel and Intercom to fund the build.
  • Finance sat alongside product — budgets, forecasts, accounts and tax.

InGrain · Founder

Sep – Dec 2021

An app for investing in property from a few dollars.

  • 3,122 people joined the waiting list in under three months, before launch.
  • Pakistan's securities regulator did not grant the licence it needed, so the focus moved to education, where Schooling Studio found its market.

Jan 2018 – Mar 2021

GAT Consulting

A management consultancy working for government bodies and manufacturers.

Business Transformation Consultant

Jan 2018 – Mar 2021
  • Built the reports end to end — field research, analysis and financial models — for four national feasibility studies commissioned by TUSDEC, the government's technology-upgrade company. They covered construction materials, technical textiles, sportswear and light engineering.
  • Researched a national study of Pakistan's cutlery industry: a survey of 58 firms, five focus groups and factory visits in China and Vietnam.
  • For PIDC, the government's industrial development corporation, designed a new way to run a shared factory for the cutlery industry. A university would own and operate it, and put its income back into research and scholarships.
  • At a cosmetics manufacturer, lean methods and production plans built on five years of sales data brought the cost of goods sold down 4% in the first year.
  • Also designed the layout of its 72,000 sq ft warehouse and launched its online store, which converted 6.2% of visitors and brought back 30% of customers.
  • Led an ERP rollout end to end, and built a digital records system for an engineering firm that halved the time to prepare a project's final claim.

Oct 2016 – Oct 2017

Trillium Pakistan

A distributor of solar power, aviation and underwater systems for oil and gas, telecom and defence clients.

Trainee Engineer, solar power

Oct 2016 – Oct 2017
  • Solar power systems for oil and gas, telecom and defence clients, from design and costing through the bid, to buying the equipment overseas and delivering it to site.
  • Led installations at remote gas fields in Sindh, where solar power protects pipelines from corrosion, and trained Pakistan Petroleum's maintenance teams to run them.
  • Automated equipment selection and material estimates, and cut new engineers' training from four and a half months to under two months.

Jun – Aug 2014

Unilever Pakistan

A university internship programme at the consumer-goods company's ice-cream plant.

Intern, Manufacturing Excellence

Jun – Aug 2014
  • Joined the Manufacturing Excellence team as the plant moved to World Class Manufacturing, working on contamination control, warehouse capacity and procedure compliance.

Education and certifications

Education

  • BE Electrical EngineeringNational University of Sciences and Technology (NUST), 2015

Certifications

  • Lean Six Sigma Green BeltGAT Consulting, 2021
  • Financial Modeling and Valuation AnalysisGAT Consulting, 2021
  • Project Feasibility and Financial PlanningGAT Consulting, 2020
  • Corporate Financial Planning and AnalysisGAT Consulting, 2020
  • ERP EssentialsLahore Chamber of Commerce and Industry, 2018

Contact

Leading applied AI at PadelOS and building h9k. Always glad to talk about AI that has to work in a real business.

Based in Pakistan.

About the numbers

Figures linked to a public report can be checked by anyone. The rest come from project records, and any of them can be walked through on request.

Public source: