Dmytro Saus

Short-term contract work on Python data-processing tasks and .NET maintenance for small teams and former colleagues. Pursuing an MSc in AI/ML with coursework in ML fundamentals, data engineering, and LLM applications.

Ran data acquisition from dozens of public websites, internal spreadsheets and scanned documents, turning 1-20 GB of fragmented daily input into consistent datasets analysts could query directly. Built shared Python components and converted raw input into columnar Parquet on AWS S3 and Elasticsearch, reducing manual correction effort by ~40% and incident investigation from hours to minutes.

Volunteered following the start of the full-scale invasion. Veteran with combat service status, returned to engineering after discharge.

Led a 19-person team on a high-volume appraisal platform used across US lending workflows. Replaced a fragmented query chain with a single stored procedure, eliminating timeout errors under peak load and reducing recurring incidents by 20-30%.

Wrote and maintained automated C# test suites for next-generation Intel hardware, replacing slow manual runs. Built a Python test automation framework and Python tooling to parse Wireshark captures, surfacing protocol-level defects. Designed a PowerShell reporting system for test coverage and results, embedded in the Azure DevOps CI/CD pipeline - feedback went from days to hours.

Fixed customer-reported defects in a global .NET/SQL system for vessel inspections and certifications. Automated deployment with Azure DevOps, MSBuild and PowerShell, removing manual release steps and associated errors.

Extended Umbraco-based corporate portals with modules, integrations and content workflows used by teams across several regions to manage hotel and travel information. Cut failed releases by adding automated tests and fixing Azure deployment pipelines.

Cut a critical data pipeline from ~6 hours to ~40 minutes by parallelising heavy processing with Azure Functions, fitting large loads inside the daily maintenance window. Built an email processing filter (duplicate detection, consolidation, spam detection) that cut noise downstream. Redesigned the in-product Help experience and built custom data-entry forms that reduced time-to-complete.

Pursuing an MSc in Artificial Intelligence & Machine Learning, with coursework and projects in ML fundamentals, data engineering, and LLM applications.

Studied database programming, earning a qualification as a Database Programmer.

Graduated with Honors in Biology and Chemistry, earning a Specialist degree.