MedTech professional with over 5 years of R&D and Quality Management experience, driven by a passion for solving complex healthcare challenges through innovation. Currently completing an MS in Biomechanics, specializing in implant engineering and material informatics.

I'm passionate about applying Machine Learning and AI to tackle complex challenges in:

• Technical documentation analysis
• Prototype validation testing
• Product development for medical devices
• Biomechanical data analysis

Let's connect if you're passionate about advancing MedTech through ML/AI!

• Developing smart tools with reinforcement and transfer learning models
• Advancing prototype and V&V testing methodologies
• Exploring AI applications in biomechanics, orthopedics, spine, and neurotechnology
• Researching material informatics for medical implants

AI-based Webapp for Polymer Toxicity Prediction using Transfer Learning from Tox21 Additives. Implemented with Deep Neural Networks, Zero-shot Learning, and AutoGluon.

Deep learning model using BERT and transformers to automate technical documentation analysis for medical devices, reducing review time by 60% and improving compliance detection.

Machine learning platform for spine implants to predict mechanical failure points and optimize design parameters based on patient-specific biomechanics.

Biomimetic research project inspired by spider silk properties, focusing on developing ultra-strong and flexible materials for medical applications using machine learning to optimize polymer structures.