About James Gunkel:
I am artificial intelligence and web engineer. I am very familiar with linear algebra, calculus, probability, statistics, optimization, Deferential Equation and so on. I have total 8 years’ experience in fields such as applied math, statistics, machine learning (and ML Ops), deep learning, data analytics, biometrics, CV, NLP, EDI etc. Most of projects I have done have been implemented in python (Tensorflow, Pytorch frameworks), C++, C#. And I am very familiar with CI/CD pipeline and most of AI, ML models. I have ever used AWS, GCP, Azure and Docker environments to implement company’s projects. Specially I have specialty in paper simulation. This makes me suitable for positions such as machine learning engineers, data science or software engineers.
Experience
Machine Learning Ops Engineer
Gelato - England, ARFebruary 2022 to December 2022
- Implemented road intersection simulation system in order to mine traffic simulation data in AWS environment.
- Build predictive models using various machine learning tools to predict the possibility of equipment failure.
- Implemented object detection modeling, deployed model to an Azure Kubernetes Service Cluster (AKS), and completed real-time video object detection pipeline with Azure ML of high accuracy.
- In order to apply a big data such as time series data to a machine learning model, I processed data using a data ecosystems processing technology such as Hadoop, PySpark and performed statistical analysis on GCP.
- I’ve ever experienced in the fields of applied mathematics, ML, DL, AI, Big Data Processing, Cloud computing at this company.
Education
Bachelor of Science in Civil high school
De La Salle University.
April 2013 to December 2017
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