Roman Girin

Senior Modeling Software .NET Developer / AI Engineer

• Architecture Modernization: spearheaded the architectural transition from a legacy 2-tier to 3-tier architecture. Migrated the Business Logic Layer (BLL) from the database tier (MSSQL T-SQL) into the .NET application layer (C#), improving system maintainability and resulting in a 30% reduction in support ticket volume. Implemented compatibility with PostgreSQL.
• Windows to Linux Migration: spearheaded the core codebase migration from .NET Framework to cross-platform .NET 8, implementing a modern asynchronous programming model (async/await) that slashed system resource utilization by 15%.
• Distributed Microservices in Cloud: decomposed an on-premise monolith into high-load microservices deployed on Azure Container Apps and Azure Kubernetes Service (AKS). Designed inter-service communication using REST and asynchronous messaging EDA (Azure Event Grid / Queues), ensuring distributed data consistency via Saga, CQRS, and Outbox patterns.
• AI Orchestration into .NET Ecosystem: architected and deployed production enterprise RAG systems leveraging vector embeddings (pgvector). Built an MS Semantic Kernel plugin to integrate core software via ASP.NET 8 REST HATEOAS API, enabling secure LLM assistant integration.
• Python-Driven LLM Infrastructure: conducted target R&D and executed open-source LLM fine-tuning via LoRA using the Transformers library (Python, PyTorch) to customize, optimize, and align open-source models for domain-specific enterprise workflows.
• Interoperability: developed critical components in C++ to seamlessly integrate CLR-managed and native code — see the interop bridge write-up.
• Engineering Culture: practice DDD, SOLID, GoF. Established testing standards by implementing comprehensive unit and integration testing (xUnit, NSubstitute) and Test-Driven Development (TDD). Managed build and deployment workflows via Azure DevOps pipelines.
• Team Upskilling: introduced agentic AI workflows (Claude Code) across the engineering team, raising development velocity.

Senior Computer Vision Engineer (Part-Time)

• ANPR system: designed and built a license-plate recognition system on custom deep networks (MTCNN detector + a custom recognizer net).
• Architecture optimization: deep-dived the MTCNN pipeline and rebuilt detection around P-Net + O-Net only, dropping R-Net entirely — lower GPU load with no accuracy loss.
• Data management: customized LabelImg to the company's metadata format, led an annotation team, built a dataset-validation pipeline, and set up on-prem data/experiment versioning (MLFlow, DVC).
• Business result: automatic recognition of expected trucks at site entrances integrated with the logistics system eliminated vehicle downtime and sped up unloading.

Computer Vision Engineer (Part-Time / Fellowship)

• System Design: engineered a machine vision diagnostic system utilizing Deep Convolutional Neural Networks (CNNs) to automate the detection of broken railway fasteners and bindings, using Python, PyTorch, OpenCV, TorchVision, and CUDA/cuDNN acceleration.
• MLOps: gathered imaging dataset for CNN training, successfully managed severe data class imbalances by implementing synthetic generation and augmentation techniques via imbalanced-learn (SMOTE).
• Integration & Async Backend: tied the machine vision engine directly into enterprise infrastructure via a custom REST HATEOAS API (Django REST Framework) and asynchronous messaging streams (Kafka/RabbitMQ). The successful production rollout in JSC RPC InfoTrans led to a 60% average increase in registered defect detection accuracy.

Senior Software Specialist (Promoted for Outstanding Performance)

• Outstaffing at Sberbank CIB: developed backend functionality on the Diasoft platform for the investment banking business.
• High-Load Databases: designed, developed, and optimized complex stored procedures, ER-models and data-tier components for high-load transaction systems across Sybase ASE and MSSQL database engines.
• Technical Estimation: conducted technical analysis and pre-sale engineering evaluations for resource and cost estimation.

Project Manager / .NET Developer

• Systems Analysis & Design: partnered with clients to formalize requirements into detailed Technical Specification Documents (TSDs) for large-scale business process automation.
• Full-Stack C# Engineering: managed end-to-end Enterprise Content Management (ECM) implementations while actively writing custom C# extensions and core integration modules.