Kodebusters

Product and Project Management for the world's most ambitious teams.

Owner and CEO

UPPER

Leading the product enablement of the company's way towards profitability

Product Lead

Drove the development of UPPER product portfolio of six web apps leading a remote cross-functional team.

Senior Product Manager

Delivery Hero

Built a peer-to-peer Chat, which I took from concept to launch and further development leading two remote cross-functional teams (iOS, Android, Web, Backend). The Chat SDK with customizable UI components aims to provide an excellent chat experience for users and is integrated into Delivery Hero apps across 40+ countries. As a global product, it is daily used by millions of customers and drives $XXXk monthly costs savings for the company.

Product Manager

MBition GmbH

Initiated and drove the Developer Relations topic to build the community around MBition products and ensure the excellent developer experience.  

My main responsibilities were:
- Launched the internal Developer Portal as a one-stop-shop for application engineering using the infotainment platform SDK
- Incorporated the SDK user feedback into the Portal roadmap 
- Aggregated, refined and maintained technical documentation, as well as stakeholder focused high-level content 
- Organized onboarding sessions and coaching for new and existing SDK users

Product Owner

Steered a revolutionary for the industry software project with the goal to develop a sophisticated infotainment platform using Agile methodologies. Contributed to scale the project from a size of approx. 5 teams to 49 cross-functional distributed teams and with 350+ engineers. 

My main responsibilities were:
- Driving the development of the infotainment system that brings the desired experience to Mercedes-Benz car users and 3rd party developers 
- Monitoring and tracking software development process towards achieving Milestone goals, anticipating challenges and risks  
- Steering the project with more than 40+ distributed, cross-functional Scrum teams, managing their interaction with stakeholders 
- Refining the Agile Way of Working, collaborating with Scrum Masters, Product Owners, Engineers, and Engineering managers to ensure the methods are applied
- Defining what drives value to end-user when it comes to details in feature scope and contributing to the feature implementation
- Onboarding new project members, partners, and suppliers 
- Introduced, organized and hosted quarterly Milestone Transition Workshops with 300+ participants 
- Supervised an intern

Project Manager

Amazon

Contributed to the launch and further development of Amazon Prime in Netherlands, Belgium and Luxembourg.

My main responsibilities were:
- Collaborate with 16 teams including business, operations and software development to solve problems and implement new solutions that drive Prime member growth
- Work with customers to understand their use cases and their existing solutions
- Partner with multiple teams across multiple locations with varying sets of priorities to ensure a timely delivery of desired solutions 
- Clarify and drive project commitments as well as establish and maintain clear chains of accountability -
- Conduct training and outreach to internal support teams as well as external customers
- Perform market and customer analysis and identify areas for improvement among internal stakeholders

Product Management Intern

Fraunhofer IAO

The thesis focuses on Agent-Based Modeling as a methodology for studying complex adaptive systems as related to the innovation process, while the main goal of this work is to identify, analyze and develop approaches to support the management decisions for innovation systems in Small and Medium sized Enterprises by modeling the business process.

Master Thesis Project: Agent-Based Modeling in the field of business processes for SMEs

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Contributed to creation, optimization, strategy and roadmap definition of the leading car-sharing provider in the world. 

My main responsibilities were:
- Market and competitor analysis and preparation of overviews of best practices in regards to new product features 
- Development of concepts for product improvement 
- Creation of wireframes and interaction concept for features and website extensions 
- Preparation of user stories for features and product enhancements for the web-development team 
- Defining acceptance criteria for the implementation
- Coordination of the implementation of quick wins in direct alignment with the development team
- Supporting marketing and content-management colleagues in person as well as by preparing tutorials and training documentation 
- Quality assurance of car2go product features across the product components 
- Participation in sessions of the SCRUM framework (review, planning, grooming, daily scrum)

Contributed to the development of the new car2go website, Online validation, car2go Packages, business website, launch of car2go in China and mixed-fleet introduction in collaboration with engineering and design teams, as well as with other stakeholders.

Working student on Product Management 

Co-Founder @Kodebusters - we bring Products to Market 5x faster and for a fraction of the cost

👋 I'm Gleb. 
Entrepreneur, product expert and mentor, athlete, and aspiring surfer.

For the past decade, I've built products used daily by over 3 million people across 40+ countries. I've managed software projects with 300+ people and complex stakeholder setups, from startups to large international corporations to my product agency. 

Today I help companies to maximize their efficiency with "boring" project management and operations, enabling them to get more done with their current team while gaining clear visibility into their business. 

I'm also a huge advocate for the future of work and wealth. I've been working remotely from spectacular places for the last 4 years, surf and fitness addict and personal growth enthusiast 🏄‍♂️

Ready to join my journey? 🔥  hit that “Follow” button!

Gleb Gordeev

Anthropic and OpenAI are bringing interactive UIs to AI agents. 

Until now, MCP servers were stuck with text-only exchanges. 

Want to visualize data? Build custom rendering logic. 

Need complex user input? Deal with the awkward back-and-forth.

This fragmentation forced every developer to reinvent the wheel.

Now, MCP Apps standardizes UI resources with security-first design. Projects like MCP-UI (Postman, Shopify, Hugging Face) and OpenAI's Apps SDK proved the demand. 

Now it's official.

This is more than a UI update. It's the foundation for an agentic app runtime: standardized, secure, and interoperable.

Founder @Kodebusters — we build ChatGPT Apps that turn conversations into customers

I've just cancelled my Cursor and ChatGPT subscriptions (~$50/month).

And switching fully to Gemini (part of my Google Workspace) and Antigravity (free IDE with Gemini 3)

For the next four weeks, I will use them for coding and daily business tasks to see if they are sufficient to grow Alchymos.

Google is slowly regaining a strong position after losing the first-mover advantage in the consumer AI race. 

Now they've got my attention.

Co-founder @Alchymos - caching for AI agents | DM for demo

AI’s real superpower is scale.

AI isn’t winning because it’s smarter. It’s winning because it can do a thousand things in the time it takes us to do one. Sergey Brin gives an example. 

Deep Research in Gemini doesn’t just skim the top 10 results like we do, it pulls the top 1,000, follows up on each, reads deeply, cross-references, and compiles insights in minutes.

That’s a week of work, compressed into seconds.

And that’s where we’re headed:

- From assistants to parallel processors of knowledge.
- From answering questions to building arguments, insights, and plans.

The real shift isn’t prompt quality. It’s system volume.

The next leap? 

Giving these agents structure, memory, and caching so they stop wasting time and tokens on redundant work.

That’s where infra comes in. And it’s what we’re building at Alchymos

The shift is happening right now. And it's exciting.

We’re moving from UX to AX (Agentic Experience)

This week, Andreessen Horowitz dropped a set of predictions that quietly change how software should be designed.

The big idea: we’re entering the agentic internet.

So far, most people see only part one.

AX today: humans interacting with agents.
Products feel less like tools and more like teammates: they remember context, they take initiative, they act on your behalf

Design here is about trust, boundaries, and reliability.

Can I delegate? Can I rely on it? Does it respect constraints?

But part two is bigger — and harder.

AX tomorrow: agents interacting with software for us.

Your “user” won’t always be human. It will be an AI agent that: reads your product, calls your APIs, negotiates with other agents, executes workflows before a UI ever loads.

At that point, pretty screens matter less than: clean schemas, clear contracts, agent-addressable actions, safe autonomy and auditability.

UI doesn’t disappear.
But it stops being the moat.

Design now has two audiences:

1. Humans, who need clarity, trust, and emotional alignment
2. Agents, who need structure, semantics, and permissioned access

Most products today are built for only one of them.

The next generation of winners won’t just have good UX. They’ll be agent-ready by default.

If your product can’t be understood, called, and executed by an AI agent...

 it’s already falling behind.

Founder at Kodebusters.com - ChatGPT Apps that convert high-intent conversations into customers

Cursor’s biggest advantage isn’t features. It’s velocity.

Yes, the new visual editing is impressive. But that’s not the real moat.

The visual layer is great. Click an element, describe the change, Cursor writes the code. Design and engineering collapse into a single loop.

That alone makes teams faster.

But what really stands out to me is how fast Cursor ships.

I use Cursor daily. And almost every week there’s something new — not tweaks, but meaningful capability upgrades.

That’s the part people miss.

They’re building a tool for startups, but they’re operating like a startup themselves.

Short feedback loops. Aggressive iteration. Relentless shipping.

That’s why the product keeps compounding. Not because of one breakthrough feature — but because speed itself is the strategy.

In AI tools, velocity beats polish.

The teams that ship fastest will define how products get built.

Norilsk Nickel

As a Discipline Head at Norilsk Nickel, I established and led a Numerical Modeling team that was responsible for simulating and optimizing the technological processes of the company. We worked collaboratively with technical leaders and engineers to provide solutions that enhanced the efficiency, safety, and sustainability of the manufacturing sector. 

I was responsible for formulating, planning, and overseeing projects that aim to optimize technological processes and achieve economic benefits through the utilization of computer-aided engineering (CAE) tools. Established a Numerical Modeling team from the ground up and conducted multiple seminars for technical leaders in the Manufacturing sector.

Head of Computer Modeling

Siemens

As an R&D Expert at Siemens, I managed and contributed to multiple projects that involved multidisciplinary design optimization, fracture mechanics, additive manufacturing, and reduced order modeling using AI/ML models. 

- Multidisciplinary Design Optimization (MDO) chain, uniting CAD update, CFD, Structural, Modal, Fatigue analyses (HEEDS, ANSYS, Python)
- Reduced Order Modeling using AI/ML models (HEEDS, Python)
- Fracture Mechanics projects (NASGRO, FRANC3D, Python)
- Automation and visualization scripts (Python)
- Team Management
- Project Management

R&D Expert

- 3D FE models of Additive Manufacturing processes (SLM, LMD) (ANSYS, Python)
- 3D whole engine model of gas turbine (ANSYS)
- Fracture Mechanics projects (NASGRO, FRANC3D, Python)
- Automation and visualization scripts (Python)
- Team Management
- Project Management

R&D Leading Engineer

Main activities as Project Manager and R&D Expert:
- Geo mechanical problems (PLAXIS, Python)
- Automation and visualization scripts (Python)
- Team management

R&D Engineer

Main activities as R&D Engineer:
- 3D FE models of Additive Manufacturing processes (SLM, LMD) (ANSYS, Python)
- 3D whole engine model of gas turbine (ANSYS)
- Fracture Mechanics projects (NASGRO, FRANC3D, Python)
- Automation and visualization scripts (Python)

Writing Master Thesis on the basis of research project of Siemens Corporate Technology Department. 
Thesis name is "Finite-element modeling and investigation of the rolling process in plane and helical rolls".

Intern

BEST

Being a part of Board of Local BEST group St.Petersburg at Treasurer's position I was responsible for:
- managing Financial Committee of non-governmental organization; 
- accounting, managing financial streams of Projects.

Treasurer / Project Manager

Work & Travel USA program

Summer Internship

R&D Modeling and Optimization Leader with over 13 years of experience in BigTech (energy, mining, metallurgy). I have extensive knowledge and skills in computer-aided engineering (CAE) tools, Machine Learning, which I use to create and optimize technological processes and solutions that deliver economic and environmental benefits.

My mission is to leverage my R&D expertise and project and product management skills to create value and innovation for the organizations and clients I work with. I am passionate about applying my knowledge and experience in numerical modeling and optimization to solve complex and challenging problems in various domains and applications.

taplio

The Battle

Gleb Gordeev

Dmitry Nesterenko

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taplio

The Battle

Gleb Gordeev

Dmitry Nesterenko

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Gleb Gordeev's LinkedIn Performance

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Performance ScoreGleb Gordeev's LinkedIn Performance