About

Christian Lang is a highly skilled Machine Learning Engineer with over 5 years of relevant experience in the field. He is currently working at Meta, an AI company for the Metaverse, as a Machine Learning Engineer. Prior to this, he worked at SupportLogic as a Machine Learning Engineer where he researched and implemented Artificial Intelligence algorithms on an embedded engineering team. He was responsible for modernizing engineering practices, model development and deployment, natural language processing, and system design. Christian is passionate about deep learning, reinforcement learning, computer vision, and educating others. During his time at SupportLogic, Christian created machine learning algorithms such as deep neural networks designed to associate text-based complaints with responsible business groups, linear clustering algorithms designed to separate bimodal time series distributions, and spline-based linear regressions designed to compensate for impractical losses in exponential regressions. He also taught instructional working sessions and extended learning courses on topics such as introduction to azure-based system architecture, introduction to deployment with Docker, and introduction to Python for data analytics. Additionally, he advised model design philosophy and git-based collaboration, making sure the team worked together well and their outputs looked unified. Before joining SupportLogic, Christian worked at AvidXchange, Inc. as a Senior Machine Learning Engineer where he managed a team of Machine Learning Engineers and Machine Learning interns. He led, developed, and maintained machine learning applications that automate payment processing via 3rd party phone service APIs, cloud-hosted voice-to-text NLP algorithms, and regex payment confirmation validation. He also trained, developed, and deployed neural networks for the purpose of saliency map inference for region of interest detection on scanned documents. Furthermore, he provided code review to new Python projects and maintained all machine learning applications deployed for the purpose of business process automation. Christian holds a Bachelor of Science in Business Administration from the University of North Carolina at Charlotte, where he majored in Finance, Con. Finance and Accounting and graduated Magna Cum Laude. He has a strong technical skill set that includes ML, Reinforcement Learning, NLP, Computer Vision, AI, Deep Learning, Python, Neural Networks, Docker, and Azure. Christian is an expert in his field and is always seeking new challenges to further develop his skills.