Darryl Fernandes
Senior Machine Learning Engineer at Quantiphi
Based in Toronto, Canada
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Seniority
Staff
Department
Information Technology
Location
Toronto
Industry
IT Services and IT Consulting
Company size
4K
Contact information
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d•••••••@quantiphi.com
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Background
About Darryl Fernandes
Proficient in the design and development of Machine Learning and Deep Learning solutions, with a strong interest in creating AI solutions that effectively address practical challenges. Technical Skills: 🧠Deep Learning Frameworks: PyTorch, TensorFlow Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP) Programming Languages: Python Source Code Management: GitHub, GitLab Libraries: OpenCV, OpenPose, Albumentations, Transformers, spaCy, scikit-learn, NumPy, Pandas, Matplotlib API: Flask Statistical ML: Linear Regression, Logistic Regression, Random Forest, Decision Trees, KMeans, K Nearest Neighbors Deep Learning: Image Classification, Object Detection, Object Tracking, Image Segmentation, Face Recognition, Action Recognition, Vision Transformers (ViT) Amazon Web Services: S3, EC2, Sagemaker Studio, Lambda, CloudWatch, Sagemaker Pipeline, Sagemaker Project, Sagemaker Model Registry Containerization: Docker Certifications: NVIDIA Fundamentals of Accelerated Computing with CUDA 🤖 Hugging Face Deep Reinforcement Learning Open to new opportunities and collaborations. Let's connect!
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