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Ali Arslan

@aliarslan

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DevOps / Platform Engineer at ASML, where I cut release time from 1–2 days to 90 minutes for 150+ developers.

Netherlands

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At ASML, I build and run the Python automation, CI/CD, and Kubernetes platform used by 150+ developers in a controlled, audited engineering environment. I implemented release pipelines that reduced release time from 1–2 days to 90 minutes.

I also work as a DevOps Consultant at DiceAnalytics, where I migrated five LAMP applications to Kubernetes and Helm and built CI/CD workflows for testing and production promotion. I coached a distributed team of five engineers as they moved from manual deployments to refined pipelines.

Earlier, at Automotive-AI GmbH, I led four engineers building AAI Atlas, the company’s maps module, and owned its map data quality and automated test suite. I began my career at Teradata Global Delivery Centre, delivering analytics engagements for telecom client teams.

Experience

Work history, roles, and key accomplishments

Current

DevOps / Platform Engineer

Current

ASML

Jul 2021 - Present (5 years 4 months)

Build and run the CI/CD, integration and release automation used by 150+ developers across 8 teams. Implemented release pipelines reducing release time from 1-2 days to 90 minutes.

Python Go Kubernetes Helm Terraform Azure DevOps Bamboo Docker Linux

DevOps Consultant

DiceAnalytics

Sep 2021 - Sep 2022 (1 year)

Migrated 5 LAMP applications to Kubernetes and Helm, containerising legacy services and cutting deployment time. Built CI/CD workflows and coached a distributed team of 5 engineers.

Kubernetes Helm Docker Bitbucket Pipelines DigitalOcean

Technical Lead, Maps Team

Automotive-AI GmbH

Aug 2017 - Jun 2021 (3 years 10 months)

Led 4 engineers building the company's maps module from scratch. Supported ASAM OpenDrive and NavInfo HD maps, enabled real-time simulation through API and data-path optimisation.

Python C++Jenkins

Database Engine Developer

Actian GmbH

Sep 2019 - Feb 2020 (5 months)

Optimised and extended the x100 execution engine of the Actian Vector analytical database (Ingres 11) in C.

Junior Data Scientist

Teradata Global Delivery Centre

Jul 2016 - Aug 2017 (1 year 1 month)

Delivered analytics engagements from Teradata's offshore delivery centre into major telecom client teams, including churn prediction, customer segmentation, market basket and affinity analysis, and a language identification model for a chatbot proof of concept.

Education

Degrees, certifications, and relevant coursework

FAST National University

Bachelor of Science, Computer Science

2012 - 2016

BSc in Computer Science from FAST National University, Islamabad, Pakistan, from 2012 to 2016. Coursework included data mining, information retrieval, concurrent and distributed computing, artificial intelligence, and digital image processing.