Karol Malicki@kasayhi
is under improvement
4
Events attended
2
Submissions made
Poland
2 years of experience
About me
I am a last-year student with a strong passion for creating innovative solutions that drive change. With experience in a diverse technology stack, including Python, Go, Vue.js, Docker, Flutter, Kubernetes, and more, I am always eager to expand my skill set and learn new technologies. I believe in the power of collaboration and design thinking to solve complex problems. My approach emphasizes creative problem-solving and user-centered design, which is why I advocate for regular planning meetings to ensure the best solutions emerge through collective input and iterative thinking. As I approach the final stages of my academic journey, I am excited to continue developing my skills and contribute to projects that push the boundaries of technology and innovation.
is under improvement
🤝 Top Collabolators
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🤓 Submissions
Llama Proxy
We propose using the LLaMA 3.1:1B model as a local proxy server to manage caches with JSON responses. Here's how the llama model can help us do just that: Query analysis and optimization Smart data management in the cache Optimization of communication with API Create intelligent cache management policies. Enrich responses and adding a layer of security and privacy to the application. Understand user behavior and tailor data to their needs. We can also approach the problem using the cloud model, when we do not have enough RAM to be able to run llama 3.1:1B. We can then send queries from time to time to the server, which would decide on the cache hierarchy, which would be the most important, and which items would already have a deletion time.
Navicare AI
Navicare AI is an innovative healthcare application leveraging artificial intelligence to enhance patient journey mapping and address key challenges in the healthcare ecosystem. By focusing on improving communication, efficiency, and patient outcomes, Navicare AI strives to support healthcare professionals in delivering more effective and personalized care. The platform utilizes the Gemma 2 API, which powers it with advanced AI capabilities to analyze and interpret patient data. This facilitates insights into patient needs and creates tailored care pathways that adapt dynamically based on individual circumstances. While the application is not yet fully functional with features like real-time predictive analytics or population health management, it has been designed to lay the groundwork for these capabilities in future iterations. The application’s core focus includes bridging the communication gap between patients and healthcare providers, addressing system inefficiencies, and fostering informed decision-making processes. With an intuitive interface and backend functionalities currently under development, Navicare AI envisions integrating data from wearable devices and hospital systems in the future to ensure a comprehensive and robust approach to patient care. Ultimately, Navicare AI aims to transform healthcare delivery by making it more efficient, patient-centric, and data-driven. Its vision includes scaling to a solution capable of supporting healthcare systems globally in navigating their operational challenges and improving overall outcomes.
