Lukas Stylianou

Lead ML Engineer

Cologne, North Rhine-Westphalia, Germany8 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building ML platforms for data scientists.
Proven track record in end-to-end ML project management.
Strong foundation in data engineering and analytics.

Stackforce AI infers this person is a Data and AI specialist with strong expertise in Machine Learning and Data Engineering.

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Skills

Core Skills

Machine LearningData EngineeringMlopsCi/cd

Other Skills

AWSAgile MethodologiesAmazon Web Services (AWS)Apache AirflowApache HiveApache SparkApplied Machine LearningAudio ProcessingBashComputer ScienceComputer VisionContinuous Integration and Continuous Delivery (CI/CD)CouchDBData AnalysisData Analytics

About

Intrigued by the evolving landscape of Data and AI, I sought a profound understanding of the underlying technologies, immersing myself hands-on rather than just theorize. My passion crystallized at the nexus of Software Engineering and Data Science. With a Master's in CS, and a dissertation on Object Detection employing Machine Learning for Computer Vision tasks, I've been driven to construct powerful data-centric systems. This path has led me through various Data and Machine Learning Engineering roles to my current position as a ML Tech Lead at AXA‘s Data Innovation Lab where I am leading teams along the full ML lifecycle, from data sourcing and modeling to deploying applications. Lately, I have been focusing building a powerful ML and analytics platform with my team.

Experience

Axa

3 roles

Lead ML Platform Engineer

Promoted

Jan 2024 – Present · 2 yrs 2 mos

Lead a team of engineers to build and maintain an ML & LLM platform for 200+ Data Scientists, Engineers & Analysts on AWS & Kubernetes.

AWSKubernetesMachine LearningData Engineering

Machine Learning Engineer

Jan 2021 – Dec 2023 · 2 yrs 11 mos

Oversaw ML projects through the full lifecycle, from initial idea to production deployment at AXA’s Data Innovation Lab.
Crafted and launched ML pipelines, transitioning raw data into actionable models.
Designed and implemented MLOps-centric platforms and applications on OpenShift & AWS.

MLOpsOpenShiftAWSMachine Learning

Data Engineer

Dec 2019 – Jan 2021 · 1 yr 1 mo

Contributed to the development of a data and analytics platform using Snowflake and AWS.
Developed Python apps for data ingestion; deployed on OpenShift and AWS via Jenkins and Terraform.
Introduced coding standards, CI/CD processes, and TDD to the data engineering team.

PythonAWSOpenShiftCI/CDData Engineering

Rtl data

Data Engineer

Feb 2018 – Nov 2019 · 1 yr 9 mos · Cologne, North Rhine-Westphalia, Germany

Implemented a high-scale data lake for a video streaming platform on AWS.
Developed and deployed ML pipelines for use cases such as churn prediction and recommendation engines.
Utilized distributed tools like Spark and Hive for data-intensive analytics pipelines on-premise and on cloud platforms (AWS, GCP, Hadoop).

AWSSparkHiveMachine LearningData Engineering

University of cologne

Research Assistant

May 2016 – Aug 2016 · 3 mos · Cologne, North Rhine-Westphalia, Germany

- Contributed to designing and developing a software tool for automated document layouts tailored to quality criteria in Media Mass Customization and E-Commerce

Detecon international gmbh

2 roles

Working Student

Feb 2016 – Mar 2016 · 1 mo · Cologne, North Rhine-Westphalia, Germany

Collaborated on a published study examining the effects of digitalization and IoT on industry dynamics.
Led study design, data gathering, and in-depth analysis.

Intern

Nov 2015 – Feb 2016 · 3 mos · Cologne, North Rhine-Westphalia, Germany

Supported consultants on an information management project for a leading German automotive firm.
Mapped the existing IT landscape, laying groundwork for future company-wide IT evolution.
Prepared pivotal software tools and architectural summaries for top management.