Igor Matsenko

IT DevOps Eng. Lead – AIOps & GenAI
Automating Enterprise Operations | Reducing Incidents & MTTR

About Me

I am an AI-driven DevOps and automation solutions engineer specializing in AIOps, agentic AI, and enterprise workflow automation. I partner with internal teams and customers to design, implement, and deliver intelligent automation solutions that reduce manual work, accelerate incident response, and improve service reliability across large-scale IT operations.

At Progressive Insurance, I lead end-to-end delivery of AIOps solutions and AI agents that integrate telemetry, alerts, and LLM-powered capabilities into production workflows. My approach: understand the customer’s pain point, find the right solution, implement it, and deliver measurable business outcomes.

I thrive at the intersection of AI/ML, DevOps, and enterprise automation—building systems that learn, adapt, and scale.

Featured Projects

🤖 AI-Powered Email Assistant

Technologies: Microsoft Copilot Studio, Power Automate, Microsoft Graph API, Azure, Python

Built an intelligent email assistant agent that automates IT support request routing, incident classification, and self-service resolution.

Impact:

50% reduction in response time
60% of routine requests handled autonomously
94% accuracy in incident classification through advanced prompt engineering

Key innovations:

Human-in-the-loop workflow design for trust and reliability
Adaptive card UX for seamless user experience
Context-aware LLM integration with enterprise data

📊 AIOps Data Pipeline & Event Correlation

Technologies: Python, PowerShell, Azure, Splunk, Network Telemetry APIs

Designed and implemented data pipelines to collect and process logs, metrics, and events from network, infrastructure, and applications, enabling proactive alerting and trend analysis.

Impact:

38% faster mean time to resolution (MTTR)
Reduced alert noise through intelligent correlation
Predictive incident detection using ML-based anomaly detection

⚡ Infrastructure Automation & Orchestration

Technologies: Python, PowerShell, Tkinter, Azure, CI/CD pipelines

Developed custom automation tools and frameworks to eliminate recurring manual operational tasks and improve change success rates.

Impact:

100+ hours of manual work eliminated monthly
Improved deployment reliability and consistency
Self-service automation platforms for engineering teams

Technical Skills

AI & Automation

AIOps/MLOps Architecture Artificial Intelligence (AI) GenAI Predictive AI
Microsoft Power Platform: Power Automate Copilot Studio Microsoft Graph API
Agentic AI: LangChain Prompt Engineering RAG (Retrieval-Augmented Generation)

DevOps & Cloud

Languages: Python PowerShell Bash SQL
Cloud Platforms: Azure AWS
Observability: Splunk Application Insights Log Analytics
CI/CD: Azure DevOps GitHub Actions Jenkins

Infrastructure & Networking

Network Engineering: Routing/Switching Load Balancing SD-WAN
Infrastructure Automation: Ansible Terraform (basic) Infrastructure as Code
Systems: Windows Server Linux Active Directory

Recent Focus Areas

Agentic AI and LLM-powered workflow automation
AIOps architecture: data pipelines, event correlation, predictive analytics
Email and communication automation with AI agents
Observability, alert noise reduction, and intelligent incident management
Customer-facing solutions engineering and implementation

Education

Bachelor’s Degree, Computer Science
Cleveland State University | 2020 - 2022
Summa Cum Laude | GPA: 3.82 | Phi Theta Kappa

Associate of Science, Computer Science
Cuyahoga Community College | 2016 - 2019
Honors Graduate | Phi Theta Kappa

Connect With Me

I’m always interested in connecting about:

AIOps / MLOps and AI in production environments
Agentic AI and the future of intelligent automation
Microsoft Power Platform at enterprise scale
Building high-performing engineering teams and platforms
Real-world use cases for GenAI in IT operations

LinkedIn

GitHub

Email

Last updated: February 2026