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Lars Yencken is a Head of Engineering at FAR.AI. He possess expertise in python, machine learning, data mining, linux, hadoop and 10 more skills. Colleagues describe him as "Lars is certainly one of the smartest guys I've come across. His mastery of all things technical is deep. He's also one of the nicest and easiest guys to get along with. He has initiative and shows leadership. He'll be a great asset to any company he works for." and "Dr Lars Yencken contacted me to discuss our first advertised DevOps role and I concluded the call knowing we had to have him. Lars is extraordinary in the true sense of the word. His background in big data, research and engineering was exciting. He hit the ground running and is now a valued expert in Amazon’s AWS, Varnish and our CDN infrastructure. I watch eagerly as he continues to demonstrate his research and data analysis skills, demonstrated by his move to a DevOps and Data… Show more"
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Head Of EngineeringFar.AiGeneva, Ge, Ch -
Head Of EngineeringOur World In Data May 2021 - PresentOxford, England, United Kingdom -
Tech LeadGrace Health Jun 2020 - Apr 2021Stockholm, Stockholm County, SwedenI joined Grace Health to help build the first-ever digital women’s health clinic designed for the next billion users. Focus areas were setting up their data environment, coaching the team, and migrating from a Facebook Messenger chatbot to a mobile app suitable the typical Android devices available to women in West Africa. -
Vp TechnologyLifesum Sep 2017 - May 2020Stockholm, SwedenLifesum's mission is to improve people's lives through better eating. I held a CTO-like role, overseeing and supporting our technical team and its core projects, and working to shape a long term technical path and culture that will meet the company's strategic goals. -
Director Of Data ScienceLifesum Mar 2017 - Sep 2017Stockholm, SwedenI led Data Science at Lifesum for roughly a year. This combined practical work ensuring we had high enough quality data to make decisions on it, strategic work on how we look at data and metrics, and future-looking investigations around customer behaviour and health progression.
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Data EngineerLifesum Oct 2015 - Mar 2017Stockholm, SwedenI joined Lifesum to help improve people's health through clever use of data and algorithms. In this period, I introduced basic data science tools to Lifesum, including an ETL system, our data warehouse in Google BigQuery, and our first shared Jupyter notebook environment. This allowed us to begin measuring and tracking people's health progression for the first time. I also led the cleanup and refinement of payment data that in turn empowered our marketing team to optimise their return.
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Data Scientist99Designs Jan 2013 - Jul 2014Melbourne, AustraliaAt this fast-growing web company, I enjoyed an evolving role spanning infrastructure and data concerns. Initially I tackled infrastructure and operations for our substantial web stack, but over time I've shifted focus onto data analysis. I developed back-end data analysis flows in Hadoop and Hive, supported the business with ad-hoc analysis, and helped to drive developer engagement. I wrote blog posts, gave technical talks, and generally encouraged our team to share their knowledge and expertise. -
Dev Ops & Data Engineer99Designs Mar 2012 - Jan 2013Melbourne, AustraliaAs a transition towards a data science role, I began blending business analytics requests amongst my dev ops responsibilities, developing more of an overview of the business data at 99designs and core questions of interest.
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Dev Ops Engineer99Designs Jun 2011 - Mar 2012I transitioned from academia into Dev Ops for 99designs, helping them to develop their infrastructure and scale with customer traffic as they grew, including a substantial on-call component.
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Research EngineerNicta Apr 2009 - Jun 2011I held a mashup of researcher, engineer and sysadmin roles for the Biomedical Text Processing group. As a researcher, I worked on cutting edge text analysis and data mining tasks, such as rhetorical role labelling and unsupervised semantic lexicon bootstrapping. As an engineer, I collaborated internally to develop information retrieval applications, prototypes and visualizations, and wrote jobs to run on supercompute clusters. As a sysadmin, I ran web and compute servers for the research group, supported external partners, collaborated on large data processing tasks, and gave tech talks. -
Honorary FellowUniversity Of Melbourne Apr 2009 - Jun 2011 -
Software Engineer (Casual)Coffee Bean Software Mar 2003 - 2008I wrote Python code to customise the Roundup issue tracker for external clients, to support smoother workflows and better estimation, and prototyped new projects that came up.
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InternAcrolinx Gmbh Oct 2007 - Dec 2007I integrated a Japanese morphology checker into Acrocheck, a grammar and style checker for technical writers. This meant coming to understand the existing architecture, refactoring it to support east asian languages, and writing C++ and Java to integrate Japanese language support. -
Tutor/Head TutorUniversity Of Melbourne Mar 2003 - Jun 2007I taught classes of 10-20 students in “Logic and Computation”, “Software Engineering Processes and Tools” and “Artificial Intelligence”, covering skills such as: Prolog, Bash, Make, version control, and debugging in C. For this I received an Excellence in Tutoring Award. As a Head Tutor, I also coordinated project testing and marking, provided example solutions, responded to student queries and kept students challenged.
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Software Engineer (Casual)Scientific Analytic Systems 2003 - 2006I developed a machine learning parameter tuning system in Python for this early start-up, whose mission was to predict chemical properties of soil using near-infrared spectroscopy.
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InternSafehouse International Nov 2002 - Feb 2003I implemented state-of-the-art algorithms for optical flow into Safehouse's video processing pipeline, for the purpose of improving automatic measurement of foot-traffic by video. This role gave me experience working on a mature C++ codebase with strict revision control and review procedures.
Lars Yencken Skills
Lars Yencken Education Details
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Computer Science (Computational Linguistics)
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Mathematics, Software Engineering
Frequently Asked Questions about Lars Yencken
What company does Lars Yencken work for?
Lars Yencken works for Far.ai
What is Lars Yencken's role at the current company?
Lars Yencken's current role is Head of Engineering.
What is Lars Yencken's email address?
Lars Yencken's email address is la****@****ken.org
What is Lars Yencken's direct phone number?
Lars Yencken's direct phone number is +614040*****
What schools did Lars Yencken attend?
Lars Yencken attended University Of Melbourne, University Of Melbourne.
What are some of Lars Yencken's interests?
Lars Yencken has interest in Academic Research, The Technological Singularity, Wavii (Acquired By Google), Melbourne, Data Analysis, Amazon Rds, Cassandra (Database), Computational Linguistics, Victoria, Transhumanism.
What skills is Lars Yencken known for?
Lars Yencken has skills like Python, Machine Learning, Data Mining, Linux, Hadoop, Algorithms, Natural Language Processing, Big Data, Software Engineering, Information Extraction, Text Mining, Artificial Intelligence.
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