Applied Scientist · ML Engineer · Software Engineer · London

Applied Scientist II at Amazon

Alexis Thomas

I build the demand forecasts that help Amazon plan its European delivery network, from three-year capacity plans down to zip-code-level operations. On my own time, I design, build and ship AI products end to end.

Résumé Selected work

Portrait of Alexis Thomas — Fig. 0 · London, 2026

Fig. 1 Career as a time series, 2016 to today. Bars show studies, roles and products; diamonds mark milestones; the hatched area is a forecast. Hover or tap the chart to inspect any month.

31

countries covered by the long-term forecasting system I built
99.7%

business-constraint satisfaction across 10 marketplaces
85K+

AI recommendations served by Giftruly, one of 3 apps I built and shipped

§ 01 · What I do

Part scientist,
part engineer.

Science · Engineering · Product

A Applied science

Forecasts that survive production

Hierarchical, neural, statistical and foundation-model forecasting for business-critical planning: rigorously evaluated, robust to volatility, and built to respect hard business constraints.

Time series
Hierarchical models
Optimization
Evaluation

B Engineering

Cloud systems that scale

Working with AWS since 2020: serverless platforms that run thousands of concurrent model executions at Amazon. AWS Certified Solutions Architect – Professional.

AWS
Serverless
CDK
Python
Java
TypeScript

C Product

AI apps, end to end

Three AI-powered apps designed, built and shipped on my own time, used on 24K+ devices in 68+ countries.

LLMs
React Native
Next.js
Design

§ 02 · Selected work

Products I've
built & shipped.

3 products · 2023–2026 · All projects →

P/01 2026 – present Live on iOS & Android

Prismo

An AI learning journal that turns what you read, watch and hear into organized notes and spaced-repetition quizzes.

installs on iOS & Android since launch: 870+ installs on iOS & Android since launch
countries with active users: 68 countries with active users
launched on the App Store & Google Play: Mar 2026 launched on the App Store & Google Play

React Native (Expo)
TypeScript
Swift (iOS widget)
AWS Lambda
API Gateway
DynamoDB
S3

Case study App Store

P/02 2023 – present Live on web, iOS & Android

Giftruly

An AI gift concierge: describe the person in a sentence and get a shortlist of ideas, each with a reason it fits.

AI gift recommendations served: 85K+ AI gift recommendations served
unique devices used the gift finder: 24K+ unique devices used the gift finder
downloads on Google Play: 1K+ downloads on Google Play

Next.js
React Native (Expo)
TypeScript
AWS Lambda
DynamoDB
CloudFront
Cognito

Case study App Store

P/03 2024 – present Live on the App Store

Aura

A private mood journal with an AI companion: check in with a tap, and get a gentle note back.

launched on the App Store: Apr 2024 launched on the App Store
from idea to App Store: ~1 month from idea to App Store

React Native (Expo)
TypeScript
AWS Lambda (Python)
API Gateway
Cognito
AWS CDK
Claude on Amazon Bedrock

Case study App Store

§ 03 · Experience

Engineer to
scientist.

4 yrs 8 mos at Amazon · Full résumé →

Promoted from Software Development Engineer to SDE II at Amazon, then moved into applied science to own the forecasting models themselves.

Work experience and education
Period	Role	Organisation	Location
Oct 2024 – now	Applied Scientist II Demand forecasting for Amazon's European logistics network, feeding capacity planning and financial forecasting.	Amazon	London, UK
Dec 2023 – Sep 2024	Software Development Engineer II Led software architecture inside a research team working on the long-term vision for European delivery speed.	Amazon	Paris, France
Mar 2022 – Dec 2023	Software Development Engineer	Amazon	Paris, France
Feb 2021 – Jul 2021	Finance Project Manager	BMW Group France · Internship	Paris, France
Jun 2020 – Dec 2020	Software Development Engineer Intern	Amazon Web Services · Internship	Dublin, Ireland
Education
2018 – 2022	Diplôme d'ingénieur civil des Mines (Master's degree), Mathematics & Computer Science	Mines Paris – PSL	Paris, France
2016 – 2018	Classes préparatoires aux grandes écoles (CPGE)	Lycée Saint-Louis	Paris, France

§ 04 · Research & recognition

Published, ranked,
certified.

Research page →

Peer-reviewed · DMLR · 2024

“Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge”

Y. Amara-Ouali, Y. Goude, N. Doumèche, P. Veyret, A. Thomas, D. Hebenstreit, T. Wedenig, A. Satouf, A. Jan, Y. Deleuze, P. Berhaut, S. Treguer, T. Phe-Neau

Journal of Data-centric Machine Learning Research (DMLR), 2024.

PDF arXiv Code

Award · Mar 2023

3rd place, Smarter Mobility Data Challenge

EV charging forecasting, reviewed by a jury including Cédric Villani.
Certification · May 2024

AWS Certified Solutions Architect – Professional
Verify

§ 05 · About

The person
behind the plots.

I'm an Applied Scientist at Amazon in London, where I build the demand forecasts that Amazon uses to plan its European delivery network, from three-year capacity plans down to zip-code-level operations. Before moving into science I spent two and a half years as a software engineer at Amazon, building the serverless platforms that run our research models in production.

I studied mathematics and computer science at Mines Paris – PSL, one of France's top engineering schools, after two years of classes préparatoires at Lycée Saint-Louis.

That double background, part scientist, part engineer, is how I work. I like problems where a good model only matters if it survives contact with production: messy data, hard business constraints, real users. At Amazon that means forecasting systems that hold up across 31 countries. On my own time it means designing, building and shipping apps to the App Store and Google Play.

Outside of work you'll find me singing, at CrossFit, or building the next side project.

Based in: London, United Kingdom
Languages: French (native), English (full professional), German (limited working)
Education: Mines Paris – PSL
Off the clock: Singing, CrossFit, Gaming, Side projects