About Me
I am a dedicated programmer with a robust background in Python and full stack development. Since my 12th grade, Ive built a range of projects, including a comprehensive stock screener using Next.js, React, and Python for predictive analytics and real time data visualization. My expertise extends to machine learning ML and deep learning DL, showcased by a brain tumor segmentation project using UNet and KAN. Additionally, Ive developed computer vision applications such as a face recognition based attendance system and a face pose tracker.
What distinguishes me is my proficiency in combining MLOps and DevOps, enabling seamless integration of ML models in production environments. My full stack development skills encompass React.js, Next.js, Node.js, MongoDB, and SQL, allowing me to create and sustain large scale web applications.
With a blend of ML expertise, software development skills, and a passion for innovation, I am eager to contribute effectively to your team.
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