AI and ML Engineer | Tensorflow/keras | Web dev | Data Enthusiast 🥸
"The future holds mysteries, and it's up to us to make it great for both AI and humans."
Hi! I'm Abdul Rauf, an AI/ML engineer working in machine learning, deep learning, web development, data analysis, and generative AI. I use tools like Python, TensorFlow/Keras, Streamlit, Django, Flask, Java, and SQL. I've gained skills through certifications from Harvard in web development, computer science, and Python programming. I've also completed courses in machine learning and deep learning from Kaggle. As an active competitor on Kaggle, I regularly take on new challenges. I've interned at Mentorness and CodeAlpha as an ML/AI engineer, working on projects like chatbot development, speech emotion recognition, and handwritten character recognition using machine learning models.
Here are some of my projects I have worked on 😊
This certifies that Abdul Rauf has successfully completed CS50x, Harvard University's Introduction to Computer Science, demonstrating proficiency in programming, problem-solving, and computational thinking.
This certifies that Abdul Rauf has successfully completed CS50W, Harvard University's Web Programming with Python and JavaScript, demonstrating proficiency in web development, Python, JavaScript, and modern web technologies.
This certifies that Abdul Rauf has successfully completed CS50p, Harvard University's Introduction to Programming with Python, demonstrating proficiency in Python programming, problem-solving, and computational thinking.
This certifies that Abdul Rauf has successfully completed CS50T, Harvard University's Introduction to Computer Science and Technology, demonstrating proficiency in computer science concepts, technology skills, and problem-solving abilities.
More certificates available on the certificates page 🤗
As an ML intern at CodeAlpha, I developed and implemented machine learning models, analyzed data to derive insights, and collaborated with the team to enhance algorithm performance, contributing to impactful projects and advancing my practical skills in machine learning.
As an ML intern at Mentorness, I designed and optimized machine learning algorithms, conducted data analysis, and collaborated on innovative projects, enhancing predictive models and gaining hands-on experience in applying machine learning techniques to solve real-world problems.
As an AI Engineer intern at CodeAlpha, I developed and deployed AI models, implemented deep learning algorithms, and collaborated on cutting-edge AI projects, gaining extensive experience in artificial intelligence and enhancing the accuracy of predictive analytics.
More info available on the experience page 🤗
Check out my latest blog posts: