I am a particle physicist with a passion for statistics and artificial intelligence. For twelve years I worked as researcher for a world wide scientific collaboration at CERN's Large Hadron Collider in Geneva.

I have over three years of experience in the software industry and machine learning research. Also, I am an expert in web scraping Currently seeking opportunities to create and deploy production-quality data products with meaningful real-world impact.

Accomplished RD professional, engineer, data scientist, manager and inventor driving science and technology in digital health and life sciences using mathematical and computational models Python + JavaScript + TypeScript + Node.js + C++ + C + SQL + Many More #languages TensorFlow + Keras + Scikit-Learn + React + Material + Koa + Express + NumPy + Pandas + Plotly #libraries Agile + Node + Git + Docker + Travis CI + Linux + Bash + Flow + Sketch #development Diversity + Equity + Inclusion + Integrity + Education + Community #corevalues I thrive in collaborative environments with the ability to navigate complex projects; manage and mentor colleagues; and advance leading-edge technology and scientific knowledge. I hold a PhD and MS in Applied Mathematics as well as BS in Mathematics from the University of California, Davis.Subject Matter Expertise: Research, Healthcare Life Sciences, Computational Mathematics, Data Science, Artificial Intelligence (AI), Project Management, Team Leadership, and Communication.

I am a Computer Science Graduate Student with a focus on Distributed Systems, Backend Development, and Machine Learning. I have experience in developing and implementing Machine Learning solutions for Samsung Smartphones. At Samsung R&D Institute, Bangalore I worked under the Data Protocol team in 5G where I performed state of art research comprising machine learning, systems, and smartphones. I love building complex mathematical models and new features starting from blank whiteboards or early-stage prototypes and transforming them into something people really value. Competencies: Python, AWS, C/C++, Machine Learning, Keras, Google Cloud Platform, Deep Learning, Linux, AWS, Data Protocols.

Enthusiastic developer who loves working on projects that add value to society. I have collaborated in a wide variety of fields (web development, tele-medicine, application development, formula student, artificial intelligence) because I love IT and working with innovative people on exciting projects

Passionate about machine learning and software engineering, exploring new concepts, comfortable with working in a team, technologies, and improving my existing skills through a continuous process of learning. Experience in both academia and industry by exploring new research areas and participating in various activities in order to improve competencies.

Hello, my name is Dietmar Puschmann. I have a Bachelor of Science in Media Informatics from the University of Ulm, Germany. I am living in Ulm and am doing a Master's degree in the same direction and expect to finish my studies during the spring or summer. Besides studying, I have a small job at the same university until March. We are working on a VR software with the Unity Game Engine and C#.

Data Scientist and Machine Learning Engineer with experience in Scientific Computing and Software Development.

Data Scientist and Machine Learning Engineer with experience in Scientific Computing and Software Development.

Programming in Python since two thousand and fourteen. 20+ Machine Learning (including NLP and Computer Vision) and Data Science projects done at several companies and universities in the past three years. Open Source contributor to Keras and Ultralytics. I have previously worked with large-scale transformer models for NLP (GPT-2, BERT..) at Pangeanic S.L. in Valencia (Spain), and with Computer Vision (ResNets and other types of Convolutional Neural Networks,...) at Secret Source S.L. (Canary Islands, Spain). Currently working as a Research Scientist on a computer vision project at the University of Las Palmas de Gran Canaria testing YOLOv5 and deploying UNET (semantic segmentation) + VGG16 convolutional neural network architecture on a microplastics dataset. Experienced in supervised as well as unsupervised learning, more precisely advanced classifiers and various types of Neural Engines such as BERT, GPT-2, YOLOv5, Convolutional Neural Networks, Residual Neural Networks, Recurrent Neural Networks, LSTM, simple and and Ensemble Classifiers (boosting, bagging, Random Forest..). In addition, I have worked with with advanced clustering (K-Means, DB Scan, Transactional C.), time series forecasting and classification, etc.