Software Development
Estimated Reading Time: 8 minutesHybrid AI systems are designed to balance performance and efficiency, using SLMs for quick, routine tasks and turning to LLMs when deeper reasoning or context is needed.
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Estimated Reading Time: 9 minutesAddressing Unexpected Outcomes As explained in Part One, the SEDA framework consists of four steps, each of which was briefly discussed. The third step, Addressing Unexpected Outcomes, is what
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Estimated Reading Time: 12 minutesLLMOps, short for Large Language Model Operations, is a growing field that focuses on managing the entire lifecycle of large language models like GPT, LLaMA, Claude, and Mistral. Think of
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Estimated Reading Time: 9 minutesSmall Language Models (SLMs) are streamlined versions of large language models or LLMs like GPT-4. With fewer parameters under the hood, they’re faster, more affordable, and easier to run,
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Estimated Reading Time: 7 minutesIn nearly every major software transformation, there’s one undeniable reality: legacy code is the elephant in the room. It runs mission-critical systems, processes billions in transactions, and holds years,
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Estimated Reading Time: 6 minutesIn today’s fast-moving world of software development, applications aren’t built from scratch anymore. They’re assembled. We stitch them together using combination of open-source libraries, third-party services, container images, and
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Estimated Reading Time: 5 minutesOnion Architecture is a software architecture pattern that focuses on separation of concerns and dependency inversion to make systems more maintainable and testable. Introduced by Jeffrey Palermo, it addresses
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Estimated Reading Time: 5 minutesIn modern software architecture, CQRS (Command Query Responsibility Segregation) and Event Sourcing are powerful patterns for building scalable and maintainable applications. These approaches fit well with Domain-Driven Design principles,
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Estimated Reading Time: 7 minutesWe require a framework that promotes sustainable growth and adaptability by valuing both human and technological contributions, ensuring that organizations remain responsive to changes while maintaining a supportive and efficient structure.
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Estimated Reading Time: 6 minutesProgramming languages follow different paradigms, shaping how developers write and structure code. These paradigms influence the overall approach to problem-solving, guiding how programs are designed and executed. As a
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I help organizations evolve existing software ecosystems without forcing unnecessary large-scale rewrites. The focus is on understanding the current system, identifying what needs to change, and defining an incremental path toward a more maintainable and adaptable architecture.
This includes:
I assess existing software systems and architectures to identify structural problems, technical risks, constraints, and opportunities for improvement.
The goal is to provide a clear understanding of the current architecture and practical recommendations for its evolution. This includes:
I facilitate focused workshops to help teams understand complex domains, identify architectural boundaries, align technical and business perspectives, and make informed decisions about architecture and transformation.
This includes:
I support organizations in designing solution architectures and turning architectural decisions into working ecosystems.
The focus is not only on defining the architecture, but also on providing technical direction throughout implementation and delivery.
This includes:
