Leonard Aukea work email
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Leonard Aukea personal email
With a passion for data, software, and machine learning, I have led teams and technologies towards excellence and innovative pragmatism. My experience ranges from developing advanced ML platforms to fostering resilient and collaborative communities. I am dedicated to achieving success through a commitment to quality and integrity. My leadership philosophy blends technical expertise with empowerment, ensuring that our collective efforts are both successful and sustainably impactful.
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Founder And CtoSkygrid EngineeringGothenburg, Se -
Ai AdvisorHumblebee Sep 2024 - PresentGöteborg, Se -
FounderSkygrid Engineering Aug 2024 - PresentStealth startup; Decarbonizing the AI revolution. -
Head Of Machine Learning Engineering & OperationsVolvo Cars Jan 2021 - Apr 2024Göteborg, Se🚀 MLOps & ML Engineering Leadership at Volvo CarsSteered the MLOps initiative and established a high-performing ML Engineering & Operations team at Volvo Cars, with an emphasis on collaboration and strategic technological alignment.🌟 AI/ML & Data Strategic Oversight- Sculpted AI/ML & Data strategies in tandem with executive management. - Designed and maintained a robust ML Infrastructure using the Cloud Native Stack.- Provided strategic executive advice on generative AI.💼 ML Development & Deployment Mastery- Developed a Tekton-based CI/CD/CT pipeline, institutionalized ML best practices, and ensured comprehensive reproducibility of ML elements at scale.🤖 ML Community and Knowledge Enhancement- Co-established the ML Center of Practice and crafted an ML knowledge base, democratizing ML knowledge throughout the organization.👥 Hiring and External Knowledge Dissemination- Formulated hiring strategies and assessment rubrics for ML and Data Engineering roles.- Elevated Volvo Cars' brand, fostered relationships, and attracted talent via external talks in the MLOps space.🛠️ Technological Innovations & Partnerships- Spearheaded the DataOps initiative and advocated an inner-source mindset.- Synergized with the Head of Architecture to strengthen the Internal Developer Platform (IDP).🌐 Policy Consultancy & Capacity Building- Served as an internal advisor on the AI EU Act regarding AI system definition - Facilitated SW/ML training programs.🔎 Direct Technical Contributions- Pioneered ML/DS projects, including ML platform engineering, the creation of a predictive system for vehicle stay durations, and an initiative to map and form partnerships through the EV charging network.🔗 Advocacy for Open Source- Directed the open-source development of 'Lingon', an infrastructure lifecycle management tool using Go (Lingon on GitHub). -
Senior Data ScientistVolvo Cars Dec 2019 - Jan 2021Göteborg, Se* Senior Data Scientist at Consumer Digital. * Tech Lead: Data Science Platform -
Data ScientistVolvo Cars Jun 2018 - Dec 2019Göteborg, Se -
Data ScientistCgi Dec 2017 - Jun 2018Montreal, Quebec, CaAdvanced Analytics Solutions -
Data ScientistBigdatapump Jul 2017 - Dec 2017Turku, Varsinais-Suomi, Fi -
Data AnalystBigdatapump Mar 2017 - Jul 2017Turku, Varsinais-Suomi, Fi -
Coastal Ranger (Coastal Robot)Finnish Defence Forces 2006 - Jan 2007Helsinki, Fi
Leonard Aukea Skills
Leonard Aukea Education Details
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University Of GothenburgMathematics -
University Of GothenburgMathematics -
Uppsala UniversityBioinformatics
Frequently Asked Questions about Leonard Aukea
What company does Leonard Aukea work for?
Leonard Aukea works for Skygrid Engineering
What is Leonard Aukea's role at the current company?
Leonard Aukea's current role is Founder and CTO.
What is Leonard Aukea's email address?
Leonard Aukea's email address is le****@****rna.com
What schools did Leonard Aukea attend?
Leonard Aukea attended University Of Gothenburg, University Of Gothenburg, Uppsala University.
What are some of Leonard Aukea's interests?
Leonard Aukea has interest in Mathematics, Physics, Music And Fitness, Trading, Science, Biology, Music, Fitness, Chemistry, Travel.
What skills is Leonard Aukea known for?
Leonard Aukea has skills like Mathematics, Optimization, Mathematical Modeling, Problem Solving, Machine Learning, Mathematical Statistics, Pyhton, R, Data Science, Big Data Analytics, It Management, Project Management.
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