Technical Expertise
Programming
Python
R
SQL
C++
MATLAB
Frameworks
TensorFlow
PyTorch
Keras
Hugging Face
LangChain
Libraries
JAX
OpenCV
SciPy
Scikit-learn
spaCy
Tidyverse
PostgreSQL
Boost
Cloud & DevOps
AWS
Compute Canada Cloud
Docker
Git
Gitlab
MLflow
Comet ML
Domain & Industry Knowledge
In-depth knowledge of various Machine Learning techniques, including both Supervised and Unsupervised Learning, allowing for the creation of models that can predict outcomes and discover hidden patterns in data. Expertise in Deep Learning with advanced models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and Autoencoders. Proficient in implementing solutions for complex problems in Natural Language Processing (NLP) and Computer Vision, enabling the extraction of insights from text and image data.
Extensive experience working with healthcare data systems like Electronic Health Records (EHR) and Electronic Medical Records (EMR), ensuring proper management and integration of patient data. Expertise in Hospital Information Systems (HIS) for seamless healthcare operations. Well-versed in industry regulations, including HIPAA (Health Insurance Portability and Accountability Act), FDA (U.S. Food and Drug Administration), and HL7 (Health Level Seven Standards), ensuring compliance in handling sensitive healthcare information. Knowledgeable in the implementation of systems that improve healthcare delivery, protect patient privacy, and meet government standards.