About

Shivansh Beohar is an accomplished AI/ML SDE with a Master's degree in Human Computer Interaction from IIIT Allahabad, India. He is currently working as an AI Software Engineer at Lytiq GmbH, where he is responsible for writing pipelines for ML experiments, data and model versioning, and model performance tuning and monitoring. His expertise lies in applied ML and MLOps. In his previous role as an AI Developer at Lytiq GmbH, Shivansh was tasked with creating a solution that detects anomalies in the medical equipment manufacturing process using images, categories them, and detects the underlying root cause in the manufacturing process that caused the anomaly. He used unsupervised and self-supervised clustering, segmentation, and classification techniques, along with data cleansing, annotation, and visualization. As an MLOps Intern at Lytiq GmbH, Shivansh worked on automatic handwritten form digitalization using Power Platform, researching and experimenting on depth prediction from monocular images, and designing 3D CAD models in Blender for data augmentation, model architecture designing, and evaluation. Shivansh's education history includes a Dual Degree (M.Tech + B.Tech) in Human Computer Interaction from IIIT Allahabad, India, which he will complete in December 2022. His technical expertise includes AI, Software Engineering, ML, test, and Research Scientist. Shivansh has 0.87 years of relevant experience and is passionate about using his skills to solve complex problems in the field of AI/ML.