Borys
Gorobeyko

Provided GDPR-compliant test data, measured by error-free ServiceNow imports with preserved referential integrity, through a modular Python anonymizer with deterministic seeding and multiprocess pipelines.

• Full PII coverage, measurable through precise masking of names, emails, phone numbers, addresses, and companies, including in free text, by combining regex and NLP.
• Ensured reproducibility, measured by consistent repeat runs and validations, through seed-based anonymization and robust export workflows.
• Result: Enabled GDPR-compliant test data generation for development and test environments while preserving referential integrity and data structure.

• Python
• pandas
• NLP
• Multithreading
• CSV
• ServiceNow

Standardized AI response quality, measured through a confidence-based Composite Quality Index, by building a four-stage evaluator across semantic, pragmatic, lexical, and structural levels.

• Increased analysis capability, measurable through CSV exports per stage and an overall score, with stable export modules.
• Scaled throughput, measured by efficient NLI processing and improved GPU utilization, by integrating Transformers with batching and lazy loading.
• Result: Accelerated enterprise-specific AI integration, measurable through shorter integration cycles and less rework, using task-weighted scores, prompts, and guardrails for Now Assist in ITSM.

• Requirements Analysis
• Python
• NowAssist
• NLI
• LLM
• Hugging Face

Standardized internal authentication, measured by the complete replacement of third-party tools, through a standalone LDAP client in C# with Bind/Search/Add/Modify/Delete and a desktop GUI.

• Reduced onboarding effort, measurable through faster bulk updates, with LDIF/CSV import and export plus a visual GUI.
• Automated provisioning, measured by stable service integrations, through REST and CLI interfaces.
• Result: Standardized LDAP access across teams and eliminated the dependency on third-party tools.

• C#
• .NET
• LDAP
• REST API
• CLI
• Linux