Employ modern ML solutions in implementing data, big data pipelines, and cloud services on projects.

Develop and maintain database pipelines for clients - transforming data into actionable insights.

Collaborate closely with teams of software engineers, product managers, and other stakeholders on projects.

Design, build and deploy production-level machine learning systems and solutions for clients.

Deliver production-ready code and drive adoption of best practices on projects.

Develop and validate ML models and manage deployment processes on solutions.

Built and implemented a new Senetik data generator and worked on a multiclass detection and object tracking solution.

Designed a keywords text generation solution - model training it to parse volumes of data from documents.

Worked with opensource datasets and modern ML methods to enhance the chatbot creation process for the client.

Designed, built and trained the ML model and convolutional neural network on the project for Adani.

Contributed to implementing solutions to enhance semantic segmentation of x-ray images in mammology.

Informed ML modelling decisions and utilized modern ML techniques to identify and resolve issues on the project.