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  1. Last 7 days
    1. Laravel is not just keeping up with AI, it is thriving with it. The future of Laravel is all about smarter builds, AI integration, and scalable architecture. This blog dives into what’s changing and why it matters now.

      Discover how AI is shaping the future of Laravel with real-world AI integrations, from chatbots and predictive analytics to cloud-native deployments and AI-assisted development workflows.

  2. Aug 2025
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    1. •Delivered personalized bill reviews to identify cost-saving opportunities and increase customer satisfaction.

      Include specific savings amounts or percentage increases in customer retention due to these reviews.

    2. •Provided tailored mobile solutions by assessing customer needs and recommending optimal phone, plan, and accessory options.

      Quantify the increase in customer satisfaction or sales resulting from these tailored solutions.

    3. •Contributed to game development using Figma, ensuring engaging UI/UX design and adherence to project goals within a tight deadline.

      State how the UI/UX design improved user interaction or satisfaction rates.

    4. •Collaborated with a team to design and develop IntegrityXplorer, an interactive 'Choose Your Own Adventure' game focused on academic integrity.

      Include specific metrics on user engagement or feedback received post-launch.

    1. Companies have invested billions into AI, 95 percent getting zero return

      MIT report: 95% of companies see no profit from investments in generative AI, which amounted to approximately $35 billion.

      Most AI pilots have no measurable impact on company profits. Attempts to implement tools like ChatGPT into the workplace primarily increase the productivity of individual employees, not the earnings of the entire company.

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    1. •Implemented over 6 different JUnit tests for each function future-proofing development and open-source contributions.

      Clarify how these tests contributed to the project's reliability or ease of future updates.

    2. •Utilized Java libraries and frameworks to create functions that allowed for recursive generation of the dice.

      Explain the significance of this feature—how does it enhance the application's functionality or user experience?

    3. •Developed standards for employee software interaction, reduced operating costs by 40%, improving functionality.

      Explain how reduced costs translated to benefits for the company (e.g., increased revenue, efficiency).

    4. •Unified three isolated programs into one software solution utilizing Java, PHP, SQL(MySQL), and RESTful API reducing user workload by up to 75%.

      Clarify the context of 'user workload' reduction—what tasks were simplified or eliminated?

    5. •Partnered with the professor, planned and implemented creative projects following the school’s curriculum and objectives, improving students’ understanding of course material.

      Specify how much student understanding improved (e.g., grades, feedback) to quantify impact.

    1. This blog discusses how to generate 3D images using AI using text prompts or 2D images. We discuss how to set up your system to AI-powered 3D image generation, including hardware and software requirements. You also get information on leading 3D AI tools like Meshy AI, Spline and more.

      Learn how to generate 3D images using AI models. This guide covers top tools and best practices to help designers and developers bring their 3D visions to life efficiently.

    1. for - youtube - BBC - AI2027 - Futures - AI - progress trap - AI - to AI2027 website - https://hyp.is/0VHJqH3cEfCm9JM_EB3ypQ/ai-2027.com/

      summary - This dystopian futures scenario is the brainchild of former OpenAI researcher Daniel Kokotajlo, - It is premised on human behavior in modernity including - confirmation bias of AI researchers - entrenched competing political ideologies that motivate an AI arms race - entrenched capitalist market behavior that motivates an AI arms race - AI becoming embodied, resulting in Artificially Embodied Artificial Intelligence (AEAI), posing the danger to humanity because it's no longer just talk, but action - Can it happen? The probability is not zero.We don't really understand the behavior of the AI LLM's we design, they are nonpredictable, and as we give them even greater power, that is a slippery slope - AI can become humanity's ultimate progress trap, which is ironic, because the technology that promises to be the most efficient of all, can become so efficient, it no longer need human beings - Remember Jerry Kaplan's book "Humans need not apply"? - https://hyp.is/o0lBFH3fEfC1QLfnLSs5Bg/www.youtube.com/watch?v=JiiP5ROnzw8 - This dystopian futures scenario goes further and explores the idea that "humans need not exist"!

      question - What about emulating climate change gamification of "Bend the Curve" of emissions? - Use the AI 2027 trajectory as a template and see how much real-life follows this trajectory - Just as we have the countdown to the https://climateclock.world/ ( 3 years and change remaining as of today) - perhaps we can have an AI 2027 clock? - What can we do to "bend the dystopian AI 2027 curve" AWAY from the dystopian future?

    1. This guide shows how to build an Agentic SaaS platform that pairs scalable cloud software with autonomous AI agents to learn and adapt. It covers core design principles, real-world use cases, and practical steps to future-proof your business. The focus is on enhancing user experience, boosting efficiency, and ensuring strong security through seamless AI integration.

      Learn how to build an agentic SaaS platform powered by autonomous AI systems capable of perceiving, planning, deciding, and acting. Explore architecture components, real-world use cases, and transformation strategies for intelligent SaaS.

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    1. Partner with clinicians, researchers, and cybersecurity/privacy officers to turn clinical pain-points into digital-health pilot ideas

      Specify the number of pilot ideas developed and their impact on patient care or efficiency.

    1. But won’t this stifle innovation, one might worry? Quite the opposite, we think. Europe's competitive advantage in AI is unlikely to arise from pouring hundreds of billions into building the largest foundational models. Instead, it will come from industrial adoption, effectively integrating GPAI into useful downstream applications–an approach that plays to Europe’s true strengths: rich data pools, world-class applied engineering capabilities and dynamic SMEs, which make up 99% of all businesses.

      This is an interesting angle - ease of adoption when the tech is "boring", and reduced risk

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    1. Developed a full-stack web application using with Flask serving a REST API with React as the frontend

      Remove 'using with' for clarity. Add impact metrics, such as user adoption rates or performance improvements.

  13. resu-bot-bucket.s3.ca-central-1.amazonaws.com resu-bot-bucket.s3.ca-central-1.amazonaws.com
    1. Created LLM extension tools to help translate complex internal wikipedia pages to hyperlinked code snippets to help internal customers use the project at low-level logic, increasing efficiency by 300%.

      Provide context on what 'efficiency' means here. What specific tasks were made easier or faster?

    2. Automated robust CI/CD by building custom pipelines to unit, load, and integration test the code with 100% code coverage, enhancing safety in deployment into production waves.

      Specify how this automation improved deployment frequency or reduced errors in production.

    3. Designed a highly efficient system flow in integration and canary testing, decreasing latency by 70% and cost per API invocation by 2000%.

      Clarify the baseline metrics for latency and cost to provide context for the improvements made.

    4. Streamlined session management across internal teams by consolidating different types of sessions into a single master session, simplifying workflows between upstream and downstream callers.

      Quantify the efficiency gained or time saved through this consolidation to better illustrate the impact.

    5. Developed portable Model Context Protocol (MCP) servers for the team, extending knowledge for AI tools such as Amazon Q and Kiro IDE to study internal data and automate self-service tools, saving $240,000 every year.

      Explain how the $240,000 savings was calculated and what specific processes were improved to achieve this.

    6. Engineered solutions to operational problems involving cache validations and cyclic calls to raise the business availability to 99.998% and lower latency in customer federation by 60% in the busiest availability zones.

      Break down the specific operational problems solved and how they directly impacted user experience or system reliability.

    7. Addressed security challenges in serving device authentication and authorization flows to extremely reduce the chance of phishing attacks for customers.

      Quantify the reduction in phishing incidents or security breaches to highlight the effectiveness of your solutions.

    8. Led the creation of user background sessions to enable AI services such as AWS SageMaker run long-running tasks without user interactivity, creating a new paradigm in model training on AWS.

      Clarify how this paradigm shift benefited AWS users or reduced costs. Provide measurable outcomes.

    9. Took ownership of maintaining OIDC and SAML services for customer federation and integration with native and third-party applications across AWS.

      Specify the impact of maintaining these services. How did it improve customer experience or system performance?

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    1. driving fast and iterative improvements and integrating AI-powered feedback directly within Discord.

      Provide specific outcomes from the feedback integration, such as user adoption rates or satisfaction scores.

  17. resu-bot-bucket.s3.ca-central-1.amazonaws.com resu-bot-bucket.s3.ca-central-1.amazonaws.com
    1. Developed a full-stack web application to help students locate nearby study spots, track study sessions, and create study groups.

      Add metrics on user engagement or feedback to showcase the app's impact on student productivity.

    2. Participated in daily scrum meetings with a team of 5 developers to discuss new ideas and strategies in line with the agile workflow.

      Highlight any specific contributions or outcomes from these meetings to show leadership or initiative.

    3. eliminating the need for 100+ complex spreadsheets and enabling 30+ executives to securely access operational, financial, and customer data.

      Quantify the time saved for executives or any decision-making improvements resulting from this change.

  18. resu-bot-bucket.s3.ca-central-1.amazonaws.com resu-bot-bucket.s3.ca-central-1.amazonaws.com
    1. Developing an AI agent that monitors stablecoin flows in real time and infers intent behind large movements such as panic selling or emerging depeg risks, triggering proactive alerts and automated treasury actions for DAOs and crypto funds.

      Consider shortening for clarity; e.g., 'Developing an AI agent to monitor stablecoin flows and trigger alerts for large movements.'

    2. Implemented in-line PDF annotations through integration with Hypothes.is and AWS S3, automated change detection for resume updates, and version tracking with DynamoDB.

      Break into two sentences for clarity; consider rephrasing 'automated change detection' to 'automated detection of changes'.

    3. Built a Discord bot to streamline collaborative resume reviews, driving fast and iterative resume improvements for a community of 2000+ students.

      Specify 'driving fast and iterative improvements' with measurable outcomes, e.g., 'resulting in 30% faster review times'.

    4. Participated in daily scrum meetings with a team of 5 developers to discuss new ideas and strategies in line with the agile workflow.

      Use active voice: 'Collaborated in daily scrum meetings with a team of 5 developers...' for a stronger impact.

    5. Redesigned layout and fixed critical responsiveness issues on 10+ web pages using Bootstrap, restoring broken mobile views and ensuring consistent, functional interfaces across devices.

      Quantify 'critical responsiveness issues' with specifics to enhance impact; e.g., 'fixed 5 critical responsiveness issues'.

    6. Developed dashboards for an internal portal with .NET Core MVC, eliminating the need for 100+ complex spreadsheets and enabling 30+ executives to securely access operational, financial, and customer data.

      Consider rephrasing 'eliminating the need for 100+ complex spreadsheets' to 'replacing 100+ complex spreadsheets' for stronger impact.

    7. Led backend unit testing automation for the shift bidding platform using xUnit, SQLite, and Azure Pipelines, contributing 40+ tests, identifying logic errors, and increasing overall coverage by 15%.

      Break into two sentences for clarity; consider rephrasing 'increasing overall coverage by 15%' to 'increasing test coverage by 15%'.

  19. resu-bot-bucket.s3.ca-central-1.amazonaws.com resu-bot-bucket.s3.ca-central-1.amazonaws.com
    1. Built an NLP-powered Telegram Bot that parses natural language commands to allow expense-splitting directly in your group chat

      Specify user engagement metrics or feedback to illustrate the bot's effectiveness and popularity.

    2. Built a Discord bot to streamline collaborative resume reviews, driving fast and iterative resume improvements for a community of 2000+ students.

      Add specific metrics on how many resumes were improved or how quickly to demonstrate impact.

    3. Participated in daily scrum meetings with a team of 5 developers to discuss new ideas and strategies in line with the agile workflow.

      Focus on your contributions or outcomes from these meetings to highlight your role more effectively.

    4. eliminating the need for 100+ complex spreadsheets and enabling 30+ executives to securely access operational, financial, and customer data.

      Clarify how this change improved decision-making or efficiency for the executives.

  20. Jul 2025
  21. resu-bot-bucket.s3.ca-central-1.amazonaws.com resu-bot-bucket.s3.ca-central-1.amazonaws.com
    1. Built an NLP-powered Telegram Bot that parses natural language commands to allow expense-splitting directly in your group chat with fast, secure, on-chain expense records.

      Include user adoption rates or feedback to illustrate the bot's effectiveness and popularity.

    2. Developing an AI agent that monitors stablecoin flows in real time and infers intent behind large movements such as panic selling or emerging depeg risks, triggering proactive alerts and automated treasury actions for DAOs and crypto funds.

      Clarify the potential financial impact or risk reduction achieved through this AI agent's alerts.

    3. Built a Discord bot to streamline collaborative resume reviews, driving fast and iterative resume improvements for a community of 2000+ students.

      Add metrics on how many resumes were improved or user satisfaction ratings to demonstrate impact.

    4. Participated in daily scrum meetings with a team of 5 developers to discuss new ideas and strategies in line with the agile workflow.

      Highlight a specific contribution or idea that led to a significant improvement in team performance.

    5. Redesigned layout and fixed critical responsiveness issues on 10+ web pages using Bootstrap, restoring broken mobile views and ensuring consistent, functional interfaces across devices.

      Specify the user engagement metrics or feedback received post-redesign to showcase impact.

    6. Developed dashboards for an internal portal with .NET Core MVC, eliminating the need for 100+ complex spreadsheets and enabling 30+ executives to securely access operational, financial, and customer data.

      Quantify the decision-making improvements or time saved for executives due to the dashboards.

    7. Built a React/.NET impersonation tool enabling admins to emulate employee sessions for support and troubleshooting, cutting developer testing setup time by 86% by eliminating the need for test accounts.

      Consider rephrasing to emphasize how this tool improved support response times or user experience.

    8. Led backend unit testing automation for the shift bidding platform using xUnit, SQLite, and Azure Pipelines, contributing 40+ tests, identifying logic errors, and increasing overall coverage by 15%.

      Add a specific example of a critical bug found to highlight the importance of your contributions.

    9. Developed an end-to-end shift bid publishing feature using Azure Functions (C#), SQL, and Azure Logic Apps, automating shift imports into the HR system for 700+ employees and saving 50+ hr/month of manual entry.

      Clarify the impact by stating how this improved efficiency or employee satisfaction beyond just time saved.

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