Machine Learning Engineer : Improving The Deep Learning Experience With Augmented Algorithms To Increase Program Efficiency By 97% Machine Learning (ML) Engineer with 6+ years of experience in managing machine learning lifecycles end-to-end in manufacturing and healthcare. Currently, overseeing the work of 3 ML and AI professionals to constantly find ground for improvement of both supervised and unsupervised learning algorithms - providing 150+ sustainable solutions. Apt at developing, building, and maintaining both ETL and ML pipelines to increase data accuracy and predictability by a 45% AVG. Perfectionist, always open to collaborate with data science and industry professionals to look outside current frameworks and discover 1k+ more working solutions for each individual problem. Experience: Machine Learning Engineer BigML 2018-2023, Madrid Company, leading provider of machine learning and data analytics solutions, enabling businesses to easily create and deploy ML models. End-to-end deployment of 5 applications: building ML pipelines from scratch (with Python and various learning algorithms) and deploying on the cloud Constantly improving the program's efficiency by analyzing individual functions with the help of 3 data engineers Uplifted a machine learning project’s predictive model precision by 10% Testing and experimenting on the platform (running models in parallel and A/B test) to reduce data segmentation and analysis delays by a 13% AVG ML Researcher: NLP and Speech Recognition DefinedCrowd 2016-2018, Madrid Company, specializing in data annotation and collection for training AI models. Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms Deployed the program across the cloud to meet 100% of all deadlines and follow the highest standard of security measures Collaborate with 10+ data engineers to improve the predictability model of data with a focus on patterns and trends…Machine Learning Engineer : Improving The Deep Learning Experience With Augmented Algorithms To Increase Program Efficiency By 97% Machine Learning (ML) Engineer with 6+ years of experience in managing machine learning lifecycles end-to-end in manufacturing and healthcare. Currently, overseeing the work of 3 ML and AI professionals to constantly find ground for improvement of both supervised and unsupervised learning algorithms - providing 150+ sustainable solutions. Apt at developing, building, and maintaining both ETL and ML pipelines to increase data accuracy and predictability by a 45% AVG. Perfectionist, always open to collaborate with data science and industry professionals to look outside current frameworks and discover 1k+ more working solutions for each individual problem. Experience: Machine Learning Engineer BigML 2018-2023, Madrid Company, leading provider of machine learning and data analytics solutions, enabling businesses to easily create and deploy ML models. End-to-end deployment of 5 applications: building ML pipelines from scratch (with Python and various learning algorithms) and deploying on the cloud Constantly improving the program's efficiency by analyzing individual functions with the help of 3 data engineers Uplifted a machine learning project’s predictive model precision by 10% Testing and experimenting on the platform (running models in parallel and A/B test) to reduce data segmentation and analysis delays by a 13% AVG ML Researcher: NLP and Speech Recognition DefinedCrowd 2016-2018, Madrid Company, specializing in data annotation and collection for training AI models. Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms Deployed the program across the cloud to meet 100% of all deadlines and follow the highest standard of security measures Collaborate with 10+ data engineers to improve the predictability model of data with a focus on patterns and trendsWWWW…