Abdalrahmen Yousef@pepo795

Events attended

Submissions made

Egypt

1 year of experience

About me

software engineer with a focus on artificial intelligence and machine learning. Throughout my academic journey, I’ve cultivated a strong foundation in computer science, and I’ve had the opportunity to apply these skills in practical settings. During my time as a student, I actively sought out projects that allowed me to explore the intersection of AI and software development. For instance, I engaged in a collaborative effort to develop a predictive analytics model for TimeSeries problem . This experience not only honed my programming skills but also sparked my passion for leveraging AI to solve real-world challenges. I also undertook internships that provided hands-on experience in implementing machine learning algorithms. In one particular internship, I contributed to the development of a recommendation system that significantly improved user engagement. This experience allowed me to apply my theoretical knowledge in a professional setting and exposed me to the intricacies of deploying machine learning models in a production environment. Drowness detection while divring (https://github.com/abdalrahmenyousifMohamed/Drowness-Detection-OpenCV) - Low back pain |Lumber spain detection by values provided by sensors is placed in back of patient or MRI data (https://github.com/abdalrahmenyousifMohamed/LBP) - TwiteGenius a groundbreaking startup at the intersection of AI and social media(https://github.com/abdalrahmenyousifMohamed/TwitGenius)

Socials

🤝 Top Collaborators

Ahmad Sultan

Hello! this is Ahmad, a computer science graduate student at Montana State University, Bozeman.

Wilson Phiri

Technology enthusiast, focused, self driven

🤓 Latest Submissions

ClassGPT

Parses pdf with pypdf Index Construction with LlamaIndex's GPTSimpleVectorIndex the text-embedding-ada-002 model is used to create embeddings see vector store index page to learn more indexes and files are stored on s3 Query the index uses the latest ChatGPT model gpt-3.5-turbo local mode for app (no s3) global variable use_s3 to toggle between local and s3 mode deploy app to streamlit cloud have input box for openai key uses pyarrow local FS to store files update code for new langchain update Custom prompts and tweak settings create a settings page for tweaking model parameters and provide custom prompts example Add ability to query on multiple files Compose indices of multiple lectures and query on all of them loop through all existing index, create the ones that haven't been created, and compose them together

Hackathon link

11 Dec 2023

👌 Attended Hackathons

TruEra Challenge: Build LLM Applications

Revolutionize AI with TruLens by TruEra - Your Gateway to Building Better LLM Applications! Build with TruLens, LLMs development and explainability tool by TruEra Leverage AI observability for dynamic app enhancement Collaborate with like-minded individuals! For the Hackathon you can work in a team from 1 to 6 members. In this Hackathon, you can also join with a project from the TruLens 48-Hours Hackathon, provided you adhere to the following rules. Consider it a warm-up, and explore the world of technology by participating in the TruLens 48-Hours Hackathon.

NextGen GPT AI Hackathon

🚀 Access Models with Clarifai Get access to advanced models released by OpenAI recently through Clarifai platform! Build with the Latest Technology Today - GPT-4(Vision), Assistants API, Text to Speech, GPT-4 Turbo, Image Generation DALL·E API!

Mixtral 8x7B: 24 Hours Challenge

At this event, you are challenged to create your own product with the Mixtral 8x7B LLM that overperformed GPT 3.5, and Llama 2 70B on most of the benchmarks. 🕒 24 hours to complete the challenge 💡 Implement any idea that uses Mixtral 8x7B in its core 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator

📝 Certificates

TruEra Challenge: Build LLM Applications | Certificate

View Certificate