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Konark Patel
Apprenant.e
(1)
31
Lieu
Toronto, Ontario, Canada
Curriculum vitae
Konark_Patel_Resume_1.pdf
Portails
Catégories
Intelligence artificielle Biotechnologie Santé Apprentissage automatique Santé publique

Compétences

Agent-based model 2 Microsoft certified: azure ai fundamentals 2 Microsoft sysprep 2

Profils sociaux

Réalisations

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Émis par Level UP: February 2025
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avr 1, 2025
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Émis par Level UP: February 2025
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Awarded for providing feedback at the end of a Level UP project.
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Dernières rétroactions

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Cindy Diogo
Cindy Diogo
Elle / Elle
CEO
avril 9, 2025
Approbation individuelle
Microsoft sysprep Microsoft certified: azure ai fundamentals Agent-based model
I highly recommend Konark for any role or opportunity that values initiative, analytical thinking, and a strong interest in applied AI. During their time with ConSoul, they played a key role in exploring the foundations of agentive AI, helping us shape early prototypes and surface meaningful user needs. They were professional, proactive, and a great collaborator—any team would be lucky to have them.
Rétroaction de l'Apprenant.e
Microsoft sysprep Microsoft certified: azure ai fundamentals Agent-based model
It was a pleasure working with Konark on our agentive AI research. They brought curiosity, initiative, and a strong grasp of emerging AI concepts to a challenging space. Their ability to translate technical research into actionable insights for our product team was especially impressive, and their contributions laid important groundwork for future development.
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ConSoul Inc
Proactive AI Integration for ConSoul App
ConSoul Inc

Projets récents

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ConSoul Inc
ConSoul Inc
Toronto, Ontario, Canada

Proactive AI Integration for ConSoul App

ConSoul Inc aims to enhance its existing application by transitioning from a reactive generative AI model to a proactive AI agent. The current app responds to user inputs, but the goal is to anticipate user needs and provide suggestions or actions before being prompted. This project involves understanding the existing app architecture, identifying key areas where proactive AI can add value, and designing an AI agent that can predict user behavior or preferences. The team will explore various AI models and techniques to implement this proactive functionality. The project will provide learners with an opportunity to apply their knowledge of AI, machine learning, and app development in a real-world scenario, focusing on enhancing user experience through intelligent automation. - Analyze the current app's AI capabilities and user interaction patterns. - Research and propose suitable AI models for proactive behavior. - Design and prototype an AI agent that integrates seamlessly with the existing app. - Test the AI agent's performance and user impact.

Jumelages 1
Catégorie Intelligence artificielle + 4
Fermé