Raphael Blankson

Phd @Novosibirsk State University Nsu

Toronto, ON, CA
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WORK HISTORY

Aug 2021 — Present

Phd @Novosibirsk State University Nsu

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Novosibirsk, RU

Improving quantum convolutional neural networks for image classification- Applying quantum machine learning to medical images- Researching how to effectively compute gradients for quantum neural networks

EDUCATION

2022 — 2022

Udacity

Nanodegree, Cloud DevOps Engineer, Information Technology

2021 — 2022

Udacity

Nanodegree, AWS Machine Learning Engineer

2021 — 2025

Novosibirsk State University (NSU)

Doctor of Philosophy - PhD, Quantum Machine learning

2016 — 2017

Free Code Camp

Full Stack Web Development, Computer Software Engineering

2019 — 2021

Novosibirsk State University (NSU)

Master of Science - MS, Big Data Analytics and Artificial Intelligence

ABOUT RAPHAEL BLANKSON

Experienced MLOps and machine learning engineer with data engineering skills. I am currently a PhD student at the Novosibirsk State University specializing in quantum machine learning after graduating masters in Big Data Analytics and Artificial Intelligence. I have experience in designing end to end machine learning pipelines and solutions for both NLP and computer vision tasks and operationalizing ML workflows on AWS, GCP (Google Cloud platform) and used frameworks like pytorch, tensorflow, pytorch-lighntning and Docker- Hands on experience in Linux and scripting languages like bash- Experience in Infrastructure as code (IaC) and use configuration management tool like ansible to accomplish deployments to cloud-based servers- Proficient with software containerization using Docker and container orchestration using Kubernetes- Experience in building deployment pipelines- Working on a project named AI Architect that can take text or voice input and output some architectural designs based on the user request- Built cloud infrastructure using AWS cloudformation - Operationalizing a machine learning API using Kubernetes (Skills & tools: Kubernetes, Docker, Ansible, AWS, DevOps, MLOps, CI/CD)- Building cloud computing solutions at scale using AWS, Azure and Google cloud platform from Duke University.(Skills: serverless technology, virtual machines, Kubernetes, DevOps)- Experience in creating and designing RDBMSes like MySQL, PostgreSQL and IBM db2- Worked with NoSQL & Big data using mongoDB, Cassandra, Hadoop, Apache Spark, Spark ML, Spark Streaming and Spark SQL. TECHNICAL SKILLS AND TOOLS - Kubernetes | Ansible | Linux | Docker| AWS SageMaker| AWS| Microsoft Azure| Git & GitHub| Python| Deep Learning| PyTorch| CI/CD | CircleCI | PyTorch-Lightning| Scikit-Learn| Computer vision| SQL| ETL| ELT |Data pipelines| bash | airflow| apache kafka| mongoDB| Cassandra| Hadoop|| HTML | CSS|quantum machine learning| OpenCV|HuggingFace| Natural language processing | Prometheus | Locust

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