I am an AI Integration Engineer specializing in building GenAI microservices, RAG pipelines, and vector search behind robust REST APIs. I have designed prompt templates and evaluation loops, containerized services, and deployed them to Kubernetes with Helm and CI/CD, significantly reducing release steps and ensuring strong Azure to OCI delivery with Terraform and secure secrets. I'm comfortable working across Python and .NET technologies and SQL/NoSQL stores, with a focus on reliability and user experience through caching, async jobs, and error handling. My experience spans backend development with Flask and React integration, efficient microservice deployment, and infrastructure as code using Terraform. I've worked extensively with Azure DevOps pipelines, Kubernetes autoscaling, and multi-cloud setups, collaborating closely with QA, UX, and business teams to ship production features on sprint cadence. Recently, I added MCP capabilities to expose tools and data to LLMs in a governed way, continually focusing on scalable, secure, and performant AI-powered software solutions.

Igor Pticins

I am an AI Integration Engineer specializing in building GenAI microservices, RAG pipelines, and vector search behind robust REST APIs. I have designed prompt templates and evaluation loops, containerized services, and deployed them to Kubernetes with Helm and CI/CD, significantly reducing release steps and ensuring strong Azure to OCI delivery with Terraform and secure secrets. I'm comfortable working across Python and .NET technologies and SQL/NoSQL stores, with a focus on reliability and user experience through caching, async jobs, and error handling. My experience spans backend development with Flask and React integration, efficient microservice deployment, and infrastructure as code using Terraform. I've worked extensively with Azure DevOps pipelines, Kubernetes autoscaling, and multi-cloud setups, collaborating closely with QA, UX, and business teams to ship production features on sprint cadence. Recently, I added MCP capabilities to expose tools and data to LLMs in a governed way, continually focusing on scalable, secure, and performant AI-powered software solutions.

Available to hire

I am an AI Integration Engineer specializing in building GenAI microservices, RAG pipelines, and vector search behind robust REST APIs. I have designed prompt templates and evaluation loops, containerized services, and deployed them to Kubernetes with Helm and CI/CD, significantly reducing release steps and ensuring strong Azure to OCI delivery with Terraform and secure secrets. I’m comfortable working across Python and .NET technologies and SQL/NoSQL stores, with a focus on reliability and user experience through caching, async jobs, and error handling.

My experience spans backend development with Flask and React integration, efficient microservice deployment, and infrastructure as code using Terraform. I’ve worked extensively with Azure DevOps pipelines, Kubernetes autoscaling, and multi-cloud setups, collaborating closely with QA, UX, and business teams to ship production features on sprint cadence. Recently, I added MCP capabilities to expose tools and data to LLMs in a governed way, continually focusing on scalable, secure, and performant AI-powered software solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Latvian
Fluent

Work Experience

Full Stack Software Engineer at If P&C Insurance
January 1, 2025 - August 8, 2025
Developed and delivered web features across .NET/C# REST APIs, React frontends, and SQL Server databases. Collaborated in Azure DevOps CI/CD pipelines handling builds, releases, work items, and PR policies. Wrote performant SQL queries and stored procedures along with API endpoints. Worked closely with QA, UX, and business teams to ship features on sprint cadence.
Software Engineer in AI Integration at Ideaport Riga AS
January 1, 2025 - Present
Built AI microservices such as Dockerized Whisper (STT), Pyannote (diarization), and RAG APIs with standardized and version-controlled prompt templates and guardrails. Developed Flask-based backend services integrated with React UI. Containerized services for consistent environments and managed deployments across staging and production. Focused on reliability and user experience with caching, async jobs, and error handling.
Backend Developer at GoElectro.com
January 1, 2024 - August 8, 2025
Worked on backend development using Python and related technologies. Supported cloud infrastructure provisioning and continuous integration setups.

Education

Bachelor of Science in Computer Science and Software Development at University of the West of England
January 1, 2020 - January 1, 2024
Bachelor Degree in Computer Science: Artificial Intelligence at University of the West of England
January 1, 2020 - January 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services