Iara S. Ravagni
Bioengineer diving into AI
About Me
Bioengineer from Argentina with a passion for integrating AI into healthcare. My recent projects include developing a pregnancy contractions monitor and working on innovative solutions for physical therapy through virtual reality. These experiences reflect my commitment to blending technology with healthcare to drive meaningful change. Currently, I’m expanding my expertise in AI at Duke University, where I’m pursuing a Master of Engineering in Artificial Intelligence for Product Innovation. My goal is to leverage AI to create cutting-edge solutions in healthcare, and I’m excited about the potential to contribute to advancements in this field through both my academic and practical work. Outside of work and studies, I enjoy staying active at the gym, trying new restaurants, and capturing moments through photography. These interests help me maintain a balanced and well-rounded perspective, which I believe enhances my professional creativity.
Technical Expertise
AI/ML
- PyTorch
- TensorFlow
Programming
- Python
- SQL
- C++
- C#
- Dart
Cloud & MLOps
- AWS
- Azure ML
- Docker
- GCP
Data Science
- Pandas
- NumPy
- Scikit-learn
- NLTK
- Pyomo
Tools
- Git
- Unity
- VS Code
- Jupyter Lab
Featured Projects
Experience
Developer
Duke Innovation Co-Lab
Sep 2024 - Present
Durham, NC
- Contributed to the development of a VR system for nurse training in Unity by coding in C# and integrating AI chatbots and speech recognition, enhancing the training experience with interactive, real-time feedback.
- Created a lip-audio synchronization algorithm using frequency analysis, achieving an 82% accuracy rate to improve speech alignment in VR simulations.
Student Consultant
Fashivly
Jan 2025 - Apr 2025
Durham, NC
- Engineered an AI segmentation pipeline using Meta’s Segment Anything Model (SAM) to extract clothing and accessories from e-commerce images.
Analyst in Business Development & Alliance Management
Celnova Pharma
Aug 2022 - Aug 2024
Buenos Aires, Argentina
- Developed a Python GUI app to automate business case processes, reducing opportunity analysis time by 25% and improving decision-making efficiency.
- Conducted pharmaceutical market studies and assessed the viability of molecules and medical devices in Latin America, leading to 15+ successful licensing opportunities based on data-driven insights.
- Supported strategic partnerships with major industry players like Novartis and Alnylam. Participated in contract reviews and negotiations and created data-driven reports on project status and molecule performance for partners.
Education
M.Eng. in Artificial Intelligence for Product Innovation
Duke University
2024 - 2025
Durham, NC
Coursework: Sourcing for Data Analytics, Modelling Process and Algorithms, Deep Learning, LLMs, Optimization
B.S. in Bioengineering
Instituto Tecnológico Buenos Aires (ITBA)
2018 - 2022
Buenos Aires, Argentina
Coursework: Biomedical Signals & Image Processing, Biostatistics, Bioinformatics, Bioinstrumentation