Position: Machine Learning/Computer Vision Engineer/MLOps
Category: Data Science
English level: fluent
Years of experience: 4

Got to work on a tool aimed for use in malaria drug development, which should help microbiologists create a cure for the deadliest disease in the human history.
Machine Learning Engineer (May 2020 - Present)

Designed and implemented a pipeline for visual analysis and grouping of malaria drugs for mosquitoes based on the shape changes in the infected cell after drug administration. The pipeline produced results similar to that of manual inspection by the microbiologist, while taking orders of magnitude less time to analyze the data. [DVC, YOLOv5, PyTorch, Dash, Clustering, Dimensionality Reduction, Object Detection]

Machine Learning Engineer (Jan 2020 - May 2020)

Developed a scalable image classification service for items on the smart scales with F1 score of 92% to minimize amount of physical interaction between the store customer and smart scales. [Tensorflow, Image Classification, Google Vision AutoML, Kubernetes, FastAPI]

Designed and implemented a template pipeline for object detection projects to speed up the development in the future, which was reused on 3 separate projects and resulted in 60h+ of engineering time reduction per project. [DVC, YOLOv5, Object Detection]

Implemented a POC for retail fraud prevention system for use in stores with self-checkout to prevent self-scan fraud.[DVC, sklearn, Classification]

Implemented a distributed version of association rule mining algorithm to analyse up to tens of billions of records about customer purchases.[Apache Beam, DataFlow, BigData]

Machine Learning Engineer (Jan 2020 - May 2020)

Implemented an easily reusable, resumable and reproducible pipeline for language model training to speed up and simplify LM training for text generation in Ukrainian.[GPT-2, DVC, Natural Language Processing, Text Generation]

Machine Learning Engineer (Mar 2019 - Dec 2019)

Designed, developed from scratch and deployed a reverse image search engine for movie and event poster recognition, data matching and search to be used in a social network app.[Apache Airflow, PyTorch, Kubernetes, FastAPI, Scrapy, Reverse Image Search, AWS]

Android Developer (Aug 2017 - May 2019)
I am looking for a MLE position, preferably related to Computer Vision and also interested in MLOps tasks (pipeline management, experiment infrastructure etc.).