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Grid Dynamics AI Native (GAIN) platforms are built to accelerate your enterprise AI transformation. Each platform focuses on a critical business domain, purpose-engineered for scale, security, and measurable ROI from day one — delivered by our Forward Deployed Engineers (FDE), embedded inside your team to drive outcomes, not just hand off code.
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Home Insights All authors Pavel Azaletskiy
Pavel Azaletskiy

Pavel Azaletskiy

Head of Cloud & DevOps Practice

Pavel Azaletskiy is a seasoned computer scientist, former AI researcher, and accomplished business professional with over 20 years of experience in the software industry. As the Head of Cloud & DevOps Practice at Grid Dynamics, he leads the company’s technology strategy and delivery in AI-powered cloud computing and DevOps. Pavel’s expertise centers on advancing AIOps, AI SDLC, developer productivity, and operational excellence for organizations undergoing digital and agile transformation.

Over the past decade, Pavel has focused on decoding the DNA of organizational performance, uncovering patterns in operating model transformation that have fueled his passion for innovation. In his current role at Grid Dynamics, he applies his deep technical knowledge to help clients implement robust cloud and AI solutions that support their business goals.

Check out the latest insights

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Ebook
Why AI initiatives miss ROI and where to invest for measurable business impact
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Ebook Why AI initiatives miss ROI and where to invest for measurable business impact

Discover the true constraint, model smarter interventions, and invest where agentic AI drives real ROI.

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Article
Enterprise AI modernization as a daily operating model
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Article Enterprise AI modernization as a daily operating model

What does AI-powered modernization as a daily operating model look like? On Monday morning, your teams do not start by opening an incident queue. They start by reviewing a set of pull requests produced overnight by software agents focused on modernization. Each pull request is small. Each is tested...

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Ebook
Vibe prototyping: Where AI in SDLC delivers outcomes
Artificial intelligence
Cloud platform and product engineering
Digital engagement
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Ebook Vibe prototyping: Where AI in SDLC delivers outcomes

Download the ebook to learn how vibe prototyping helps teams validate ideas earlier, reduce uncertainty sooner, and invest only in initiatives with real business potential.

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Demo
GAIN: Grid Dynamics AI-Native Development Platform
Artificial intelligence
Cloud platform and product engineering
+1
Demo GAIN: Grid Dynamics AI-Native Development Platform

See how the Grid Dynamics AI‑Native (GAIN) SDLC Platform takes AI‑enabled software delivery to the next level of developer productivity. While AI‑enabled SDLC speeds up coding and testing, without clearly defined requirements, the real bottlenecks simply move upstream. Skill gaps compound the probl...

Artificial intelligence
Cloud platform and product engineering
+1
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Article
How AI brings a new WAVE of transformation to SDLC automation
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Cloud platform and product engineering
+1
Article How AI brings a new WAVE of transformation to SDLC automation

Today, agentic AI can autonomously build, test, and deploy full-stack application components, unlocking new levels of speed and intelligence in SDLC automation. A recent study found that 60% of DevOps teams leveraging AI report productivity gains, 47% see cost savings, and 42% note improvements in...

Artificial intelligence
Cloud platform and product engineering
+1
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Article
Agentic AI now builds autonomously. Is your SDLC ready to adapt?
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Cloud platform and product engineering
+1
Article Agentic AI now builds autonomously. Is your SDLC ready to adapt?

According to Gartner, by 2028, 33% of enterprise software applications will include agentic AI. But agentic AI won’t just be embedded in software; it will also help build it. AI agents are rapidly evolving from passive copilots to autonomous builders, prompting organizations to rethink how they dev...

Artificial intelligence
Cloud platform and product engineering
+1

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