I’m an AI engineer with 5 years of experience building enterprise software, grounded in C#/.NET and backend engineering.
AI Engineer
ELEKS
Led cross-functional delivery of LLM-powered services, with responsibility for AI evaluation, observability, and engineering workflows. Supported hiring, onboarding, and practical adoption of AI development tools.
Highlights
- Pioneered AI adoption in a mature enterprise product by designing dedicated .NET AI services from proof of concept to production. Delivered LLM-powered extraction, classification, rewriting, entity matching, conversational AI, and similarity-based retrieval for a platform serving hundreds of thousands of corporate users.
- Built production LLM evaluation from the ground up using hundreds of reviewed cases, a golden dataset, human-calibrated LLM judges, and prompt and model regression testing in Azure DevOps, improving key evaluation metrics by approximately 5-20% across workflows.
- Reduced inference costs by approximately 75% and latency by approximately 20% through model right-sizing, workload-based routing, and caching, with regression evaluations protecting output quality.
- Provided technical and project coordination for a cross-functional team, guided AI architecture decisions, interviewed engineering candidates, and mentored QA specialists on testing non-deterministic AI functionality.
- Modernized CI/CD pipelines, automated development and QA workflows, and built Grafana dashboards for AI infrastructure and database upgrades.
- Led hands-on AI-driven development sessions for the project team and developers across the company, sharing practical GitHub Copilot and Cursor workflows.