Home » #Technology
The landscape of artificial intelligence development is shifting rapidly. Simple prompt-based interactions are giving way to agentic workflows — autonomous systems that can reason, make decisions, maintain state, and coordinate complex tasks. At the forefront of this evolution is LangGraph, a graph-centric framework designed to orchestrate stateful AI agents in production environments. For more than two decades, I’ve…
Large Language Models (LLMs) have transformed how machines understand and generate language. Yet, raw LLMs alone do not create real products. They generate text, not systems. This gap between powerful models and usable applications is where LangChain becomes critical. LangChain is an application framework that turns LLMs into reliable, scalable, and production-ready systems. With 20+ years in technology, I’ve operated…
Local AI is no longer limited to command-line experiments. With Ollama’s REST API, you can expose powerful language models running on your own machine and consume them exactly like a web service. This approach allows backend developers to integrate private, offline, and cost-controlled AI into applications without relying on cloud APIs. For more than two decades, I’ve combined…
Running AI models locally has become far more accessible thanks to tools like Ollama, which let you download, run, and experiment with language models directly on your machine — no API bills, no cloud dependency, and complete control of your data. Across 20+ years, I’ve led high-impact technology transformations—converting challenges into growth opportunities and positioning organisations…
Information overload is one of the biggest productivity challenges in modern work. Professionals deal daily with long PDFs, technical documents, research papers, meeting notes, and reports. Reading everything manually is slow, expensive, and error-prone. With Ollama, you can automate document summarization directly on your laptop — without sending sensitive data to the cloud. This tech concept,…
Running large language models locally with Ollama gives you control over privacy, cost, and performance. However, the real power of local AI does not come from the model alone. It comes from how you talk to the model. That skill is called prompt engineering. For more than 20 years, I’ve driven change through technology—building scalable solutions and…
Running large language models locally is no longer limited to researchers or cloud-native teams. With Ollama, anyone can install and run powerful AI models directly on their own machine—securely, privately, and without recurring API costs. This tech concept, walks beginners through system requirements, step-by-step installation on macOS, Linux, and Windows, common mistakes, and how to verify that Ollama works correctly.…
The development around artificial intelligence keeps accelerating — but the conversation is shifting. Instead of asking “How powerful is this AI?”, developers and companies are asking “Where does this AI run — and who controls it?” and That’s where Ollama enters the picture. Whether you’re a startup founder, AI enthusiast, developer, or technology leader, this tech concept is designed…
PDFs remain the backbone of digital documentation across enterprises, governments, startups, and research organizations. Invoices, contracts, reports, scanned archives, and regulatory filings still flow primarily as PDFs. As AI-driven automation and data pipelines mature, developers need precise, reliable, and secure tools to manipulate PDFs programmatically. Across my 20+ years tech experience, I’ve led high-impact technology transformations—converting challenges…
The rise of AI chatbots has transformed how businesses, developers, and individuals interact with technology. From answering questions to generating code, chatbots like ChatGPT, Gemini, and Copilot are now essential tools. However, their effectiveness relies heavily on how you communicate with them—that skill is called prompt engineering. With 20+ years of experience, I partner with organizations to architect scalable technology…
AI continues to revolutionize how we solve complex problems, and model fine-tuning plays a key role in this transformation. Whether you’re building smarter chatbots, domain-specific vision models, or personalized LLMs, fine-tuning lets you customize powerful pretrained models with significantly fewer resources. Over the last 20 years, I’ve gone beyond coding mastery—championing strategic leadership that propels…
Fine-tuning large language models has revolutionized natural language processing (NLP) by allowing us to adapt powerful pretrained models to specific use cases. Whether you’re building a domain-specific chatbot, sentiment classifier, or text summarizer, fine-tuning helps bridge the gap between generic language understanding and task-specific performance. For over two decades, I’ve gone from crafting millions of…
