Dr Özgür Demir Email and Phone Number
-- What I do --① I show companies where the usage of data and AI makes sense, which challenges exist and how to overcome them.② I design and implement modern data architectures and MLOps platforms. This enables my clients to do business intelligence, analytics and AI in production at scale.③ I develop customized data and AI driven software applications which increase profit and reduce costs and risks. Examples include real time data pipelines, recommender systems and fraud detection.-- Who I am --I’m a staff data scientist / data engineer / ml engineer. I have an academic background and hold a PhD in machine learning. With over 10+ years of software development experience I’m able to plan and execute data and AI projects from the ground up as well as lead and grow technical teams.In the past I have worked for companies like SoundCloud where I have built up large scale machine learning systems which were trained on billions of data points and served hundreds of millions of users. I have been furthermore involved in the founding of several startups.My second passion is music production. I've been a professional music producer and label owner for over 10 years. As a music producer I’m used to working creatively and innovatively.
Nonlinear.Ai
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Co-FounderNonlinear.Ai Jun 2019 - PresentBerlin Area, Germanynonlinear.ai is a network of experienced software engineers. We are specialized in building data driven software products: from AI powered apps to real time data pipelines.Individual team members have additional domain expertise in fields such as Bioinformatics, Cryptocurrency and Music Information Retrieval (MIR).Based on the project requirements we offer individual contributors or interdisciplinary teams.Our background is not in classic consulting. We learned our skills in renowned tech startups. Our working style and culture reflects this: innovative, product driven, tech focused.
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Freelance Data Scientist / Data Engineer / Ml EngineerNonlinear.Ai Jan 2018 - PresentGermany① I show companies where the usage of data and AI makes sense, which challenges exist and how to overcome them.② I design and implement modern data architectures and MLOps platforms. This enables my clients to do business intelligence, analytics and AI in production at scale.③ I develop customized data and AI driven software applications which increase profit and reduce costs and risks. Examples include real time data pipelines, recommender systems and fraud detection.
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Lead Ml EngineerVinted Oct 2023 - May 2024Berlin, GermanyI designed and implemented a custom chatbot specifically for Vinted. This chatbot tackles frequently asked questions, troubleshoots common issues, and deflects inquiries from live agents, ultimately empowering users with faster resolutions. Vinted benefits from reduced reliance on human support and significant cost savings. -
Lead Ml EngineerFound Jan 2024 - Apr 2024Berlin, GermanyI developed and productionized an AI-supported recommender system. This analyzes a wide range of factors such as location, role, experience and tooling to find the best matches between companies and talents. -
Lead Data EngineerHermes Sep 2022 - Apr 2023Hamburg, GermanyI assisted Hermes in conceptualizing and implementing a modern, enterprise-level data architecture on the Google Cloud Platform (GCP). This data architecture empowers Hermes to seamlessly integrate both internal and external data sources, establishing a robust technological basis for their data and AI endeavors. -
Project Lead DeveloperOttobock May 2021 - Feb 2022GermanyFor Ottobock I have defined a modern data architecture from an technological, governance as well as compliance point of view. The whole data architecture is based upon the Azure Cloud using products such as Azure Data Lake Gen 2, Databricks and Azure Machine Learning.Furthermore I am leading a team which is implementing the defined solution and building digital data driven products on top of it. -
Data Science & Data Engineer LeadDeep Breath Intelligence May 2020 - Mar 2021SwitzerlandI defined DBI’s data vision and implemented their data platform on the Google Compute Platform.I have implemented existing as well as new bioinformatical algorithms to efficiently preprocess mass spectrometry data.I have used the implemented preprocessing algorithms on existing breath measurements to develop machine learning models which predict the blood level concentration of a particular drug.The implemented algorithms and infrastructure will enable DBI’s researchers to rapidly analyze new mass spectrometry measurements in order to gain insights and build new predictive models. -
Project Lead DeveloperBörse Stuttgart Digital Exchange Gmbh Aug 2019 - Feb 2020Berlin Area, GermanyBuilt up the data architecture of the crypto exchange platform BSDEX a daughter company of the stock exchange Stuttgart in order to make them a data driven company. Introduced technologies and data processes. -
Project Lead DeveloperMuru Music Oct 2018 - May 2019We build a data platform on the Google Cloud in order to classify and tag audio tracks of multiple large industry production catalogues. The classification model is a Deep Neural Network which operates on the raw audio features. -
Project Lead DeveloperIdagio Jan 2018 - Sep 2018BerlinBuilt Idagio's Music recommender System from scratch. The model is based on "Deep Neural Networks for YouTube Recommendations". The model makes use of raw audio features, metadata as well as collaborative filtering data. The recommender was able to deliver great personalised as well as non-personalised recommendations for classical music pieces. -
Senior Data ScientistSoundcloud May 2013 - Oct 2017Berlin Area, GermanyRoles: Senior Engineer, Senior Data ScientistRecommender System:• Build core music recommender system of SoundCloud• Developed various products on top: • Personalized artist, track and playlist recommendations • Similar artists, tracks and playlists • Automatic Radio • Daily Updated Personalized Playlists• Full engineering responsibility up to serving layer• Productionized and scaled to over 100 million usersand over 100 million tracks• Developed offline evaluation protocols• Run and evaluate A/B tests Search:• Analysing quality issues with current search ranking• Implement protocol for Elasticsearch evaluation• Implement offline evaluation protocol• Extraction of train sets for learning to rankAudio Fingerprinting: • Build a prototype audio fingerprinting systemCharts:• Trending tracks detectionPlaylist Discovery• Auto generate tags for playlistsWeb Applications• Multiple web applications for prototyping and data labelingManagement:• Helped defining the data science processes for Sound- Cloud -
Co-FounderPentagonik 2005 - 2017Berlin Area, GermanyPentagonik was founded in Berlin in 2005 as a platform for electronic music and events. Pentagonik consists of two branches dedicated to releasing high-quality electronic music. -
Software EngineerKlash Gmbh Feb 2013 - May 2013BerlinFull stack software engineer
Dr Özgür Demir Skills
Dr Özgür Demir Education Details
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Bioinformatics -
Bioinformatics
Frequently Asked Questions about Dr Özgür Demir
What company does Dr Özgür Demir work for?
Dr Özgür Demir works for Nonlinear.ai
What is Dr Özgür Demir's role at the current company?
Dr Özgür Demir's current role is Freelance Data Engineer & ML Engineer | Artificial Intelligence | Machine Learning | Data Architecture | MLOps | PhD | Founder.
What schools did Dr Özgür Demir attend?
Dr Özgür Demir attended Freie Universität Berlin, Freie Universität Berlin.
What skills is Dr Özgür Demir known for?
Dr Özgür Demir has skills like Big Data, Machine Learning, Scala, Recommender Systems, Python, Go, Java, Git, Latex, Nosql.
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