Position: Machine learning engineer (Middle)
Category: Data Science
English level: upper
Years of experience: 3

I successfully integrated fully automated pipeline into a video processing (surgery recording). It contains clustering, depersonalisation, tools detection and tracking, phase recognition (AWS).
I trained and deployed lightweight text classifier (products taxonomy) into the marketplace (AWS Sagemaker)
Had experience deploying artefacts on Android.
Last 3 years I've been working with data as a Machine Learning engineer. This includes data engineering (~40% of the time), training the ML/DL models, deployment and other ML Ops. 
Data: images, videos and text. Apart from that, sometimes I use unsupervised (semi-supervised) learning for support. For example, out-of-distribution samples detection.
In the past, I had 5 years of experience as a software engineer. Worked with web backend (on premises and cloud), using PHP and Python.
While I am not actively seeking "prompt engineer" positions, I do have the expertise and capability to fulfill such roles and I am available for short-term contracts to provide assistance.