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6:05 PM

Keynote:
Make your AI-first SDLC measurable

6:45 PM

Open floor:
lively, moderated Q&A

7:15 PM

Wrap-up & takeaways

7:20 PM

Networking & reception

About the session

AI can generate code in seconds, but most organizations still struggle to answer a fundamental question: is it helping the team deliver more value? Lines of code, completed tasks, and isolated benchmarks reveal activity, not the impact across the complete SDLC.

This session introduces a pragmatic building-block approach to planning, estimation, and productivity measurement. It is straightforward to introduce, works with familiar delivery practices, and produces increasingly dependable forecasts using the team’s own evidence. Team velocity then becomes a meaningful indicator of whether AI-first delivery is improving real outcomes.

You will also see why estimation is only the beginning. The same building blocks can help AI produce stronger draft specifications, implementation starting points, and other delivery assets, creating a repeatable path from better planning to faster delivery.

Our speakers

Andrey Batyuk

Andrey Batyuk

Senior Director of Engineering Management

Make your AI-first SDLC measurable
CTO, Eugene Steinberg

Dr. Eugene Steinberg

CTO

Make your AI-first SDLC measurable
Nikita Ivanov photo

Nikita Ivanov

VP of Technology, AI

Make your AI-first SDLC measurable
Make your AI-first SDLC measurable

Andrey Batyuk

Senior Director of Engineering Management

Andrey Batyuk is a technology leader with over 25 years of experience spanning software architecture, platform engineering, DevOps, QA, and technical program management, including nearly 5 years at Grid Dynamics, where he currently serves as Senior Director of Engineering, AI-Native SDLC, after four years as Principal Software Architect. He has led the end-to-end architecture of multiple platform generations, including the transition from on-premises infrastructure to the cloud, and personally built many of the platform’s most critical services—from the metadata catalog and API gateway to the microservice compiler, execution engine, and lambda server. Prior to Grid Dynamics, he served as Chief Software Architect at MAANA for five years and held senior architecture and delivery leadership roles at SparkCognition, Deutsche Bank, TriZetto, and Sun Microsystems.

Make your AI-first SDLC measurable

Dr. Eugene Steinberg

CTO

Dr. Eugene Steinberg serves as Chief Technology Officer (CTO) of Grid Dynamics. A founding engineer and most recently, Distinguished Technical Fellow, Dr. Steinberg brings over two decades of expertise in artificial intelligence, machine learning, information retrieval, and scalable distributed systems to his leadership role. At Grid Dynamics, he has been instrumental in conceiving and scaling the company’s technology practices, spearheading mission-critical transformation programs for Fortune 1000 clients while pioneering breakthrough solutions in AI, search, and cloud-native platform development. His vision and hands-on leadership have established Grid Dynamics as a recognized innovator in digital transformation services. Dr. Steinberg oversees the company’s technology strategy, practice development, and innovation initiatives. His expertise spans enterprise AI applications, cloud platforms, data engineering, and modern application development—core capabilities that drive the delivery of high-impact solutions for global enterprises. Prior to becoming CTO, he built the company’s search and digital commerce practices from the ground up and pioneered many retail AI solutions, including visual search and conversational commerce. He joined Grid Dynamics in 2006 as its first employee and founding engineer, establishing core technology foundations while delivering transformative projects for clients including PayPal, eBay, Google, Macy’s, Home Depot, and Nike. Dr. Steinberg holds a Ph.D. in Mathematics and Mechanics from Saratov State University, where he focused on numerical analysis of nonlinear dynamic systems.

Make your AI-first SDLC measurable

Nikita Ivanov

VP of Technology, AI

Nikita is a technology executive and product-driven innovator with over 25 years of global leadership across AI, software engineering, and digital transformation. Product-centric leader with extensive experience in developing new software middleware and GenAI/LLM/RAG/AI Agentic products, managing software engineering & data science teams, and nurturing product evolution throughout all stages of its lifecycle. Frequent international speaker and Forbes Technology Council member, long-time startup mentor, advisor and investor, active open source contributor, Java/Scala founding community member. Recognized expert and authority on distributed high-performance data processing. Industry innovator in NLP and GenAI/Agentic, reinforcement learning and deterministic AI/ML. Global thought leader in In-Memory Computing. Expert in programming languages, design and compiler development. Trusted advisor to boards and executive teams on AI strategy, national digital transformation, and workforce innovation.

Keynote:

Andrey Batyuk, Senior Director of Engineering Management, Grid Dynamics.
Andrey has spent 25+ years building platforms from the ground up, including leading Grid Dynamics’ move from on-prem to cloud. When something breaks, he’s usually the fastest person in the room to find out why.

Panel:

Eugene Steinberg, CTO, Grid Dynamics.
Eugene oversees the technical architecture behind Grid Dynamics’ AI Engineering practice. He’s the kind of CTO who can tell you not just what went wrong, but exactly which assumption caused it.

Nikita Ivanov, VP of Technology/AI, Grid Dynamics.
With 25+ years leading engineering and digital transformation across global organizations, Nikita has guided AI adoption at the scale where “move fast” means something different. He tackles the organizational questions that determine whether an estimate actually holds.

Agenda

5:30 PM ‐ 6:00 PM

Arrivals, coffee, and a warm welcome

6:00 PM ‐ 6:05 PM

Opening words & a quick intro

6:05 PM ‐ 6:30 PM

Keynote: "Make your AI-first SDLC measurable"

6:30 PM ‐ 6:45 PM

Quick Q&A: first reactions, fresh thoughts

6:45 PM ‐ 7:15 PM

Open floor discussion

7:15 PM ‐ 7:20 PM

Wrap-up: a few takeaways & laughs

7:20 PM ‐ 8:00 PM

Networking reception

Who’s in the room

Dynamic Talks brings together engineers, architects, and technology leaders across the Bay Area who care about how systems are designed, built, and scaled, alongside AI community members who keep the questions sharp.

Past sessions have drawn senior engineers, VPs, CTOs, and solutions architects from companies operating at enterprise scale across retail, manufacturing, finance, and technology.

Grid Dynamics CTOs stay for the entire discussion, and everyone is encouraged to ask questions, challenge assumptions, and bring their own stories.

The format

Each session starts with a concise technical talk grounded in real-world implementation. Then the room opens up: Q&A, panel reflections, and moderated discussion. The goal is a shared exploration of ideas, trade-offs, and challenges with people working on the same problems.

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