A

Alexandre Zajac

Software Engineer

Seattle, Washington, United States7 yrs 1 mo experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Delivered billion-scale projects at Amazon.
  • Achieved top rankings in internal machine learning competitions.
  • Developed automated systems using AWS technologies.
Stackforce AI infers this person is a Software Engineer specializing in E-commerce and Machine Learning applications.

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Skills

Core Skills

Aws CdkMachine Learning

Other Skills

Artificial Intelligence (AI)CC#C++CSSFront-End DevelopmentHTMLHadoopJavaJavaScriptLeadershipManagementMicrosoft ExcelMicrosoft WordMongoDB

About

Tell me about the last time you felt growing as a software engineer. Really. π™½πšžπš•πš•π™Ώπš˜πš’πš—πšπšŽπš›π™΄πš‘πšŒπšŽπš™πšπš’πš˜πš—? Here's why: We all face information overload as software engineers. There's too much content and too little time. You have to stay relevant, but it's hard. Right now, you're either working or taking a break. You are hoping to get a dopamine shot from scrolling your feed. You can find: πŸ’‘ A practical tip to implement πŸ“š An inspirational quote πŸ˜† Something funny And then what? β†’ Scroll past it? β†’ Forward it blindly to a friend? β†’ Forget about it in the bookmarks? The harsh truth: nothing. What you consume passively doesn't make you learn. How do I know? It was the same for me for years. How do you stay updated with AI, stay relevant in the job market, and continuously grow? That's the problem I set out to solve with Hungry Minds - a free weekly newsletter to help software engineers learn and stay updated, without the noise. I'm doing that by: 1. Writing to you daily on LinkedIn to 40K+ followers and over 5M impressions last year 2. Compressing 1 week of software deep dives and trends in 1 free newsletter issue 3. Sharing my thoughts and learnings being promoted to SDE II in 1.5y at Amazon If that sounds interesting, check out Hungry Minds or DM me! I'm always down for a chat. Save 50+ hours of your week here: π—΅π˜π˜π—½π˜€://π—΅π˜‚π—»π—΄π—Ώπ˜†π—Ίπ—Άπ—»π—±π˜€.π—±π—²π˜ƒ (6K+ engineers from startups to big tech are reading already) DISCLAIMER: Opinions expressed are solely my own and do not express the views or opinions of my employer. My career background: I'm currently an L5 software engineer at Amazon in Madrid, working on core Search CX and Personalization. In 2022/2023, I delivered 2 successful billion-scale projects with multiple teams across different time zones. I have worked with multiple code languages (although this doesn't make a difference), and with tech stack in the lines of AWS CDK, React applications, scheduling systems, backends with GraphQL, and simple AI applications. My education background: - I finished a Master's in Machine Learning and AI with l'Ecole Polytechnique and IPP - I completed a Master's in Computer Science and Data Science with ESILV Paris - I got a Master's in business development and marketing with EMLV Paris

Experience

Amazon

5 roles

Software Development Engineer II

Jul 2025 – Present Β· 8 mos

Software Development Engineer II

Promoted

Apr 2023 – Present Β· 2 yrs 11 mos

  • Working on Search CX and Personalisation

Software Development Engineer I

Nov 2021 – Apr 2023 Β· 1 yr 5 mos

  • Working on enabling billions of customers enjoy their shopping journey on Amazon, directly from Search

Software Development Engineer Intern

Apr 2021 – Aug 2021 Β· 4 mos Β· Madrid, Community of Madrid, Spain Β· On-site

  • Delivered an automated filtering and auditing system for Amazon's wearable products, entirely managed with a single infrastructure based on AWS CDK (Lambda, Cloudwatch, S3) with Typescript, as well as internal processing platforms.
  • Created ETL jobs based on Spark, with queries being exclusively managed in code with Java and Scala, allowing to have unit and integration tests in an full CI/CD fashion.
  • Finished with 1st place in GraphML mutagenic classification task, top 0.3% in product matching task with multimodal tabular data, top 2% in NLP product safety identification task, all of which were internal machine learning competitions across Amazon, worldwide.
AWS CDKTypeScriptJavaScalaMachine Learning

Software Development Engineer Intern

May 2020 – Aug 2020 Β· 3 mos Β· Madrid, Community of Madrid, Spain Β· Remote

  • Developed a large-scale image processing data pipeline for fashion-related items by creating and managing AWS resources such as EC2, Lambda, SQS, CloudWatch, DynamoDB and S3 with the AWS CDK and TypeScript.
  • Reduced by x60 the processing time of images by parallelizing the execution of Python jobs and taking advantage of AWS Step Functions and AWS Batch processing.
  • Delivered an automated and asynchronous pipeline workflow by adding CI/CD as well as unit and integration tests.
AWS CDKTypeScriptPython

Air liquide

Solution & Data Intern

Jun 2018 – Aug 2018 Β· 2 mos Β· La DΓ©fense

  • Contributed to the retro-engineering of an internal reporting solution by identifying key business partners and analyzing 193 reports through Google Apps scripts and Excel processing.
  • Improved customer experience by producing fully operational documentation for a principal client software and by interpreting end-user’s needs with Google Forms and Google Slides.
  • Increased back-end performance by inspecting the frequency and time of execution of SQL reports.

Envato

Freelance

Apr 2016 – Jun 2018 Β· 2 yrs 2 mos Β· Greater Paris Metropolitan Region

  • I have done freelancing on the Envato platform which consisted in Photoshop actions and Designs.

Education

Γ‰cole Polytechnique

Master's degree β€” Data Science & Applied Mathematics

Jan 2020 – Jan 2021

ESILV - Ecole SupΓ©rieure d'IngΓ©nieurs LΓ©onard de Vinci

Master's degree β€” Computer Science

Jan 2016 – Jan 2021

University of California, Riverside

Computer Science

Jan 2019 – Jan 2019

EMLV - Γ‰cole de Management LΓ©onard de Vinci

Master's degree β€” Marketing

Jan 2016 – Jan 2021

LycΓ©e Paul Lapie

High School Diploma in Sciences

Jan 2013 – Jan 2016

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