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Mohamed Ben Achour


  • May 1, 2025

    Don’t just vibe code, make SAAS.

    One of the most heated debates in the software engineering world today centers around Vibe Coding. Introduced by Andrej Karpathy in February 2025, vibe coding is a conversational programming style where large language models (LLMs) generate code from spoken or written prompts. Karpathy described it like this: “It’s not really coding—I just see things, say Continue reading

    Uncategorized
  • June 1, 2023

    IT Operations: From Automation to Autonomy

    In the past decade, the field of IT operations has seen a revolution in automated systems. The focus has been on Infrastructure as Code (IaC), configuration management, and scripting. These approaches have brought about increased speed, efficiency, and reliability in deploying and managing complex IT systems. However, as we look forward to the next wave Continue reading

    Uncategorized
  • August 17, 2022

    FinOps and shifting left your cloud finances

    The old vs the new model of infrastructure finance The old procurement model : In the old days of infrastructure, ops teams like any other organization would have to follow a traditional procurement model, requirements for hardware are set months or years in advance, and needed to account for growth, the process was long, subject Continue reading

    Devops
  • May 12, 2022

    Making your publisher/subscriber app more cloud agnostic using DAPR

    Publisher/Subscriber Model Publish/subscribe messaging, or pub/sub messaging, is a form of asynchronous service-to-service communication used in serverless and microservices architectures. In a pub/sub model, any message published to a topic is immediately received by all of the subscribers to the topic. Pub/sub messaging can be used to enable event-driven architectures, or to decouple applications in Continue reading

    Devops
  • February 20, 2022

    Decentralized cloud is not ready for prime time … But it’s here to stay.

    The whole concept of decentralized cloud was always interesting to me, after all, it’s fair to say today that the world of cloud is monopolized by the 3 big players: AWS, Azure, GCP, so a new approach to compute/storage based on blockchain technology is intriguing , and would make the cloud a more competitive destination Continue reading

    dApps
  • October 8, 2021

    PART 1 : Continuously Loading Synthea Patients Data to Azure FHIR API

    What is FHIR ? Fast Healthcare Interoperability Resources (FHIR, pronounced “fire”) is a standard describing data formats and elements (known as “resources”) and an application programming interface (API) for exchanging electronic health records (EHR). The standard was created by the Health Level Seven International (HL7) health-care standards organization. FHIR is organized by resources (e.g., patient, Continue reading

    Healthcare
    api, azure, fhir, github, healthcare
  • January 20, 2021

    Deploy Machine Learning at scale with Kedro and Cortex.dev

    ML model deployment in production is still an area that lacks conformity, nomenclature, and patterns. Aside from few technology companies who started the journey early on, for late adopters of ML practices, it’s pretty much the wild west when it comes to the standards of model deployment. Some other challenges include the culture of data Continue reading

    Uncategorized
  • December 11, 2020

    Power generation prediction using realtime inference with Spark Structured Streaming and Kafka

    A modern power plants generate an enormous amount of data, with the ever growing number of high frequency sensors, some of the applications of this data are : the protection against problems induced by combustion dynamics for example, and help improve the plant heat rate, and optimize power generation. If we take a sensor that Continue reading

    Energy/Smart Grid, machine learning
  • November 25, 2020

    Deploy PJM Electricity Load Forecast Model on AWS SageMaker

    in the energy industry, forecasting the grid load is vital for various commercial optimizations around Day Ahead and Real Time trading, but it also help Independent Power Providers (IPPs) allocate the right generation unites. we talked previously about energy markets, CAISO, PJM, ERCOT , and others. In this article the goal is not to talk Continue reading

    Energy/Smart Grid, machine learning
  • April 9, 2020

    Predicting Electricity Wholesale Prices using AWS Machine Learning

    Electricity Wholesale Markets Most of the nation’s wholesale electricity sales happen in a competitive market managed by Independent System Operator (ISO), with over 200 million customers in these areas and over $120 billion in annual energy transactions taking place. Under the Federal Power Act, these markets are overseen by the Federal Energy Regulatory Commission (FERC), Continue reading

    Energy/Smart Grid, machine learning
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About Me

Technology leader with over a decade of experience delivering software solutions across industries like healthcare and energy. I specialize in cloud architecture, DevOps, and AI-driven platforms, with a focus on building scalable, efficient systems. I’m passionate about using emerging technologies to solve real-world problems and help teams move faster. Based in Seattle, I enjoy working at the intersection of innovation, strategy, and hands-on engineering.

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Recent Posts

  • Don’t just vibe code, make SAAS.
  • IT Operations: From Automation to Autonomy
  • FinOps and shifting left your cloud finances
  • Making your publisher/subscriber app more cloud agnostic using DAPR
  • Decentralized cloud is not ready for prime time … But it’s here to stay.

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Recent Posts

  • Don’t just vibe code, make SAAS.
  • IT Operations: From Automation to Autonomy
  • FinOps and shifting left your cloud finances

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