Onur Yüksel

Machine Learning Engineer, Mobile App Developer

Mobile Application DeveloperFull-stack developerComputer VisionMachine LearningStockholmSwedenAndroid DeveloperML EngineerData Scientist✔️ IT

I am a software developer and an AI & Machine Learning engineer, with dual MSc degrees in Computational Science and Human Computer Interaction. I have 7+ years of industrial experience in Mobile App Development and Data Visualization with 3 years of consultancy and 4 years of startup experience. I worked in cross functional teams with an agile mindset. My teams deployed software that were utilized by a user base exceeding 60 million. Details of the Computer Vision, Machine Learning and Mobile App project

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Work Background

Uppsala UniversityMachine Learning Engineer

Jul. 2023 - Dec. 2023RemoteDesigning experiments with Neural Networks for finding optimal robotic motion control policies.

Karolinska InstitutetMachine Learning / AI Developer (Collaborator)

Oct. 2022 - Apr. 2023Stockholm County, Sweden · HybridDesigned three ML pipelines for classification of bacteria in microscopy images. Compared three methods in computational feasibility and prediction accuracy on Azure cloud. Reached a 94% prediction accuracy in evaluation dataset with the best performing method.

GreenelyMobile Application Developer

Dec. 2019 - Jul. 2022Stockholm, SwedenDeveloped various features of Greenely mobile app as lead Android developer. Visualized data for electricity consumption, solar production, electric vehicle charging and integration.

Stagecast ABMobile Application Developer

Oct. 2017 - Aug. 2019Stockholm, SwedenDeveloped Stagecast mobile app as lead Android developer. Implemented creative solutions for four different live shows including Sweden’s biggest live music contest and Denmark's biggest music festival.

OBSSMobile Application Developer

Aug. 2013 - Jun. 2016Istanbul, TurkeyWorked with mainly two apps; in FinTech and Telecommunications. Built financial transactions features on Android platform. 60+ million total downloads of both apps.