Sachin Kumar Singh

Worked on optimizing Power Integrity in PCB design using AI/ML techniques, delivering improved performance and reliability through advanced simulations. Implemented a semi-automated data collection pipeline and evaluated models (ResNet50, YOLOv8, Vision Transformer), achieving top performance with ResNet50 in limited data scenarios. Enhanced the accuracy and efficiency of PCB design processes through AI-driven solutions.

Contributed to the BMUV-funded 'ZuSiNa' project, developing NLP models such as NLK, Spacy and BERT to simplify sustainability data for consumer platforms. Designed and implemented a real-time AI/ML pipeline for sustainability data, deploying a web app using HTML, CSS, JavaScript, and integrated NLP models like BERT. This solution improved platform efficiency and user engagement for eco-conscious decision-making. Collaborated with a multidisciplinary team to ensure successful deployment.

Utilized AI tools to generate insights with an 85% accuracy rate. Developed predictive models to analyze large datasets. Turned large amounts of data into informative material by utilizing several Artificial Intelligence resources.

Intelligent Systems