Hi, I'm Ryan D'Cunha.
A
Self-driven engineer and programmer who enjoys solving complex, real-world biomedical problems.
About
I am a Biomedical Engineering and Computer Science Senior at Duke University who enjoys exploring deep learning, computer vision, and medical device hardware. I have obtained most of my hardware and software knowledge from my past projects including a text-to-image generator, an AI squat assist device, and a myoelectric robotic arm. In the future, I am interested in exploring innovative AI and engineering techniques to solve problems relating to deep learning and medical imaging algorithms.
- Languages: Python, C, SQL, C#/.NET
- Frameworks & Tools: PyTorch, TensorFlow, OpenCV, Git
- Technical Skills: Microcontrollers, Circuit Design (KiCad), PCB Layout, Soldering, OnShape, Fusion 360
Projects (Click to learn more)
Robot to follow shapes, identify colors, distinguish between metal and plastic, and communicate wirelessly
Analog aid for speech amplification with ambient noise dampening
Collection of smaller projects
Collection of hardware and software class projects completed at Duke
Experience (Click to Expand)
- Manage $8000 budget to distribute among project teams, write grant and budget proposals, and present to Duke engineering alumni and medical device foundations for funding
- Facilitate project teams by helping advise and leading electrical and software technical skills workshop
- Founded wearable breathalyzer project and lead weekly meetings of 15 engineers to integrate CAD, electrical, and software components
- Tools: Micrcontrollers, PCB Design, Circuit Design, C, Python, OnShape, CAD
- Tutor 4 hourly sessions per week in Multivariable Calculus and Computational Methods in Engineering (Python)
- Led lab sessions for Medical Instrumentation (BME354) to design analog circuitry and C microcontroller algorithms to build medical devices (ECG, PPG, Neonatal Incubator, Hearing Aid)
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R&D Software Intern for ML and Computer Vision on Exploratory Research team.
Building segmentation ConvNet for medical imaging using semi-supervised learning.
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Working in VC to learn more about healthcare startups and process of funding early-stage companies. Focusing on
medical device and AI companies
- The Healthcare Syndicate (May 2024 - August 2024)
- LvlUp Ventures (November 2023 - April 2024)
- GoAhead Ventures (October 2023 - December 2023)
- Awarded 2 research grants, presented ML poster at Duke Research Symposium, and ML publication submitted and in review.
- Created SVM algorithm using scikit-learn to predict biosensor concentration based on cell fluorescence output with algorithm achieving a R^2 = 0.82 when predicted and real outputs compared
- Designed PyTorch VAE CNN and MLP biosensor concentration prediction model with overall R^2 of 0.99
- Tools: Python, MATLAB, scikit-learn, PyTorch
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12-week internship at wearable sensor medical device company specializing in electrical and software aspects of sEMGs
- Improved Python and MATLAB backend for muscle decomposition product by augmenting PyTorch/CUDA neural network and proprietary HPF and JSON files with C#/.NET to prepare next generation product for end of year release
- Generated and implemented Python thermal image processing algorithms to detect and analyze hand temperature and respiratory rate using MediaPipe API and Fast Fourier Transforms that led to successful demonstration and grant approval of prototype
- Validated prototype for a successful grant proposal by crafting transceiver-microcontroller circuit and data parsing algorithm to collect and process data from custom pulse oximeter
- Tools: Python, C, Microcontrollers, PyTorch, Tensorflow, MATLAB, C#
- Designed 3D printed implantable capsules to house electronic sensors and analyze sheep brain and movement
- Tools: OnShape, CAD
Skills
Languages
Python
C
Java
MATLAB
JavaScript
SQL
Software
Tensorflow
PyTorch
OpenCV
Git
Technologies
Microcontrollers
Circuit Design
PCB Layout
Soldering
OnShape
Fusion360
Education
Durham, NC
Degree: Bachelors: Biomedical Engineering and Computer Science
BME Design Fellow: Fellowship to promote medical device prototyping/innovation
Certificate: Innovation and Entrepreneurship
GPA: 3.99/4.0
- Generative AI
- Deep Learning
- Medical Imaging
- Signal Processing
- Data Structures and Advanced Algorithm Design
- Database Systems
Relevant Courseworks: