Rabiu Adnan@aystech499

Events attended

Submissions made

Nigeria

3+ years of experience

About me

I am a self-taught Python AI programmer with a passion for developing new technologies. I have a strong background in programming with a focus on artificial intelligence and machine learning. I have worked with various programming languages such as Python, C++, Java, and JavaScript to create AI applications, including voice recognition, natural language processing, computer vision, and robotics. I also have experience in data analysis and data science. My goal is to use AI to create solutions that make life easier, more efficient, and more enjoyable. I am motivated to learn, grow, and work collaboratively to create products that are innovative and beneficial to society.

Socials

👌 Attended Hackathons

GPT-4 Powered App Creation and Evals Hackathon

🚀 Tap into OpenAI's models for diverse app needs: text and image generation, text-to-speech, vision, and more! 🧑🏻‍💻 Go one step further. Get your application ready for production using TruLens evaluations! 🤝 Work in teams of 1 to 6 members, fostering community connections! 🏆 Prize Pool: $2,500 in Cash and $2,500 in Portkey Credits! 💡 Extend beyond the Hackathon—build your startup with support and opportunities beyond the initial project.

Google Vertex AI Hackathon

🚀💻 Be the first to build an AI App on Google's models! Hackathon on July 7-10. 🔬🌐 Try new Vertex AI features from Google Cloud Platform. 🤝🌍 Learn from AI leaders and connect with like-minded people. 🛠️📱 Build apps with the world's best AI tools! 💡🌍 Solve real-world problems with Generative AI models

The monday.com AI app hackathon

🔥 3 days to create your app 🌐 Join the hack in London, Tel Aviv and virtual on lablab.ai 🤝 Build alone, or create your team on lablab.ai 🚀 Have the opportunity to go-to-market and grow your product on the monday app marketplace 📌 Each team member must register individually. Please note that space is limited for our in-person hackathons. Spots will be allocated on a first-come, first-approved basis.