Vlad Larichev
I’m a Software Engineer specializing in Industrial AI and digital transformation, helping businesses optimize operations and unlock new opportunities.
My focus is on applying AI to industrial challenges, bridging the gap between research and real-world implementation.
As a keynote speaker, podcast host, and author, I share insights on AI’s role in business and society.
My Focus
I am passionate about new technologies and creating value for society through digital transformation.
Software Development
Extensive knowledge and experience in software development, including full-stack development, building web apps and platforms, and expertise in IIoT, AR/VR, and GIS.
Business Development
As an individual with a strong interest in business development, I am passionate about helping to create new revenue streams and enhancing the resilience, productivity, and sustainability of business operations. I enjoy devising personalized and intelligent products and services that cater to unique customer needs.
AI & Machine Learning
Deep knowledge and expertise in AI and machine learning, including leading software development in an AI department, developing and implementing software architecture for AI systems, and evaluating and integrating new technologies and tools.
Industrial Generative AI
The Industrial Generative AI will revolutionize the way we work and interact with machines. By integration of Generative AI in industrial and product development processes, we can streamline the processes and simplify the access to the information.
Public Speaking & Keynotes
I am passionate about bringing AI into industrial applications and helping businesses navigate the shift toward a data-driven future. As a speaker at international conferences and industry panels, I share insights on Generative AI, industrial AI, and digital transformation.
I have had the privilege of speaking at global AI summits, leadership panels, and though leadership events, covering topics such as:
- Generative AI for Industrial Applications – How AI is transforming manufacturing, engineering, and enterprise operations.
- AI Strategy & Business Impact – Helping organizations understand and implement AI at scale.
- The Future of Work in the Age of AI – How technology is reshaping skills, leadership, and business models.
- Bridging the Gap Between AI Research and Industrial – Connecting cutting-edge AI developments with real-world applications.
🎙️ Selection of my recent keynotes:
- Beyond prototypes – from Chatbots to Industrial Generative AI
Malaga, Spain - How Generative AI will shape the Next Industrial Revolution
Skopje, Macedonia - Hidden skills of LLMs for Industrial Applications
Amsterdam, Netherlands - How to get a real ROI from Generative AI
Frankfurt, Germany - AI Driven R&D and Engineering (link)
Shanghai, China - Visual AI in Manufacturing and Robotics
If you’d like to invite me as a speaker for your event,
feel free to reach out via LinkedIn.
About me
I’ve always been captivated by technology’s problem-solving power and its impact on society. In university, studying environmental engineering, I merged my tech enthusiasm with my drive for positive change.
There I discovered my aptitude for software development and appreciated its direct benefits to people’s work and lives. After graduation, as a software engineer, I was able to sharpen my skills in full-stack development and deepen IoT, AR/VR and GIS technologies .
Advancing in my career, I gravitated towards the synergy of software development and AI, eventually leading a team as Head of Software Development at a translation management company, focusing on SaaS and AI solutions, where I expanded my knowledge in machine learning, work with NLP, Transformer Models, LLMs and ML-Ops topics.
Now, I’m an AI and software development expert, committed to aiding companies in boosting resilience, productivity, and sustainability and collaborating with fellow experts bring this vision to life.
My Latest Articles
💻 Beyond the Hype: A Deep Dive into Model Context Protocol (MCP) and AI Connectivity — Bridging AI Models and Enterprise Systems
Model Context Protocol (MCP) is on its way to becoming for AI agents what REST was for web services — a universal, standardized way to...
🔗 AI and Generative AI in Centralized vs. Federative PLM Solutions: Opportunities and Challenges
The debate between centralized and federative Product Lifecycle Management (PLM) solutions is increasingly relevant in modern...
🔗 GraphRAG is open source now – Improve the quality of your GenAI solutions with knowledge graphs and RAG
The landscape of Generative AI (GenAI) has just received a significant boost with the announcement that GraphRAG is now open source. This...
5 Reasons to Fine-Tune Models in Industrial Applications & how to do it
The latest advancements in fine-tuning and custom models programs by OpenAI (OpenAI brings fine-tuning to GPT-3.5 Turbo | TechCrunch) mark...
Industrial Generative AI: Introducing the I-GenAI Framework. What is it, and Why we need it?
Introduction to Industrial Generative AI The concept of Industrial Generative AI (I-GenAI) is emerging as a transformative force in the...
Organize you Data: Auto-Generated Knowledge Graphs with Neo4j and Generative AI
Introduction In the world where data is king, the ability to harness unstructured data is a game-changer. Neo4j, a leading graph database,...
Digital transformation
is not just about technology, it's about people.
- Brian Solis
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