3
3
Pakistan
1 year of experience
I'm Wasif Nawaz, a passionate Software Engineer with a focus on Generative AI and Machine Learning. My expertise includes hands-on experience with leading AI tools and APIs such as OpenAI, Gemini, Llama Models, and Anthropic. I specialize in building AI-powered solutions that solve complex problems, from concept to implementation. I’ve completed a Machine Learning specialization from DeepLearning.AI, Stanford University, which has equipped me with advanced knowledge in AI algorithms and technologies. My key focus is on leveraging Generative AI to develop innovative, scalable applications. With a strong background in Python, C++, and frameworks like Streamlit and Transformers, I’m committed to pushing the boundaries of AI development and collaborating on impactful projects. Let’s explore how AI can revolutionize the way we work and create!
AI Researcher Pro is designed to streamline the research process by leveraging AI to deliver precise, real-time answers to research-related queries. Built with the Groq API, Llama 3, and integrated with Google Scholar, it allows users to explore a wide range of fields including Computer Science, Medical, Engineering, Physics, and Chemistry. Users can choose their research fields, ask questions, and receive AI-generated answers along with relevant academic papers. With advanced filtering options, multilingual support, and collaborative tools, AI Researcher Pro ensures a time-efficient, accurate, and user-friendly research experience.
The AI-Powered Medical Report Analyzer is designed to revolutionize how patients interact with their health data. By utilizing advanced AI technologies, this application extracts critical information from medical reports, such as test results and health history, presenting it in an easily understandable format. Users can upload their medical reports, and the app will analyze the data, offering personalized insights and recommendations tailored to individual health needs. In addition to report analysis, the app includes features for health assessments, counseling, and advocacy, empowering users to take control of their health journey with informed decisions. This comprehensive tool not only enhances patient engagement but also promotes better health literacy.
Our project aims to create a fully autonomous, AI-driven network optimization system specifically designed for rural telecom infrastructure. By utilizing edge computing and advanced AI algorithms, this system will continuously adapt and optimize network performance, ensuring reliable connectivity in underserved regions. The solution will monitor network traffic, spectrum usage, and power efficiency in real-time, allowing for immediate adjustments without requiring constant internet connectivity or human intervention. This approach will not only maximize performance and minimize operational costs but also facilitate sustainable growth in rural areas, bridging the digital divide and empowering communities through enhanced communication infrastructure.