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Lambros Petrou

www.lambrospetrou.com
github.com/lambrospetrou

lambros@lambrospetrou.com

Work Experience

Cloudflare, UK — Principal Software Engineer

— Present

  • Emerging Technology and Incubation (ETI) — Developer Platform

Datadog, UK — Senior Software Engineer

— Jun 2024

  • APM Distributed Tracing
    • Developed features in the APM Tracing ingestion pipeline across services serving million(s) QPS (Go, Java).
    • Implemented the infrastructure and CI/CD for highly-available TrinoDB clusters (Java, Bazel, Kubernetes).

Facebook (Meta), UK — Senior Software Engineer

—

  • WhatsApp Dev Infra
    • Implemented core components for FAUSTA, a dynamic code analysis platform that detects reliability and privacy-related issues in WhatsApp server. Namely, a new high-throughput traffic replayer (1000+ qps) with a 35x improvement in performance, isolated server environments for deterministic test runs, and support for dynamically configuring the server test instances (Erlang, Python).
    • Contributed to the paper FAUSTA: Scaling Dynamic Analysis with Traffic Generation at WhatsApp that received the "Best Industry Paper award" (link).
    • Designed, proposed, and implemented an extension of the FAUSTA platform to provide continuous performance regression detection for WhatsApp server using A/B testing between different code revisions.
    • Worked on the Continuous Integration (CI) workflows for WhatsApp server (Erlang, Python).

Amazon / Amazon Web Services (AWS), UK — Software Engineer

—

  • Amazon Profiler & Amazon CodeGuru Profiler team (Jun 2017 - Apr 2020)
    • Part of the team that created, and launched Amazon CodeGuru Profiler at AWS re:Invent 2019.
    • Lead engineer supporting 3 teams across the US and the UK for the infrastructure platform of the CodeGuru Console. Offerred training and mentoring to junior engineers onboarded into the AWS Console ecosystem.
    • Architected and developed the CodeGuru Profiler API multi-region infrastructure and CI/CD pipelines using Infrastructure as Code (IaC) with CloudFormation and AWS CDK (Kotlin, Typescript).
    • Researched, proposed, and implemented key parts of the "Profiler Efficiency Recommendations" feature which codifies performance efficiency issues and provides recommendations to the users, saving the company millions of $ in infrastructure costs.
    • Pioneered the way to deploy serverless Amazon-authenticated internal websites, by creating and maintaining an AWS Lambda@Edge library used by many teams across Amazon (e.g. AWS, Alexa, Retail). My work served as the blueprint for other teams to build their own frameworks on-top.
    • Developed and optimized core parts of the Profiler website enabling the flamegraph visualizations to smoothly render hundreds of thousands of elements.
    • Implemented key backend features and APIs written in Java and Kotlin.
  • LOVEFiLM By Post — DVD and Blu-ray rental service team (Sep 2015 - May 2017)
    • Lead engineer for the LOVEFiLM By Post mobile application (Javascript).
    • Worked on backend API services and the LOVEFiLM website (Java, Spring MVC).
  • Amazon Web Services Certifications
    • AWS Certified Professional - DevOps Engineer, AWS Certified Associate (3x)

Amazon Development Centre, UK — Software Engineer Intern

—

  • LOVEFiLM By Post — DVD and Blu-ray rental service team

    • Implemented a desktop app automating the printing of dispatched envelope labels (.NET, Java, Swing).

Data Management Systems Lab, UCY, Cyprus — Software Engineer

—

  • AnyPlace: Indoor Positioning and Navigation System for Big Data — anyplace.cs.ucy.ac.cy

    • Developed a REST API, a website, and an Android app offering real-time positioning and navigation.

Education

University of Oxford, UK

—

  • Master of Science in Computer Science (MSc), Grade: Distinction

  • Thesis: Single-round vs Multi-round Distributed Query Processing in Factorised Databases

University of Cyprus (UCY), Cyprus

—

  • Bachelor of Science in Computer Science (BSc), Grade: Distinction (ranked 1st of class)

  • Thesis: AnyPlace: Indoor Positioning and Navigation System for Big Data

Languages & Technologies

  • Languages: Go, Java, Kotlin, Python, Javascript

Projects

  • www.lambrospetrou.com (2008 - present)

    • Personal website and blog.

  • www.skybear.net (2024 - present)

    • Skybear.NET is a managed platform automating synthetics API testing with declarative workflows.

Publications

  • Paper: "FAUSTA: Scaling Dynamic Analysis with Traffic Generation at WhatsApp" Ke Mao, Timotej Kapus, Lambros Petrou, Ákos Hajdu, Matteo Marescotti, Andreas Löscher, Mark Harman, Dino Distefano, IEEE International Conference on Software Testing, Verification and Validation (ICST 2022)

  • Demo paper: "Anyplace: A Crowdsourced Indoor Information Service", K.Georgiou, T.Constambeys, C.Laoudias, L.Petrou, G.Chatzimilioudis and D.Zeinalipour-Yazti "Proceedings of the 16th IEEE International Conference on Mobile Data Management" (MDM '15), Pittsburgh, Pennsylvania, USA, June 15-18, 2015

  • Demo paper: "Crowdsourced Indoor Localization and Navigation with Anyplace", L.Petrou, G.Larkou, C.Laoudias, D.Zeinalipour-Yazti and C.G.Panayiotou "Proceedings of the 13th International Conference on Information Processing in Sensor Networks" (IPSN '14), Berlin, Germany, April 15-17, 2014

  • Demo paper: "Anyplace: Indoor Positioning and Navigation in the Big-Data Era", L.Petrou, G.Larkou, C.Laoudias, D.Zeinalipour-Yazti and C.G.Panayiotou "Proceedings of the 4th International Conference on Indoor Positioning and Indoor Navigation" (IPIN '13), Montbeliard-Belfort, France, October 28-31, 2013

Awards & Achievements