BTech in AI & Data Science
AI Student · Data Science · ML Enthusiast
Passionate about data-driven intelligence, machine learning, and building technologies that bridge the real and the computational.
I am a BTech student in Artificial Intelligence and Data Science with a strong interest in data science, machine learning, and intelligent technologies. I enjoy working with data, exploring patterns, and understanding how data-driven approaches can be used to solve real-world problems.
I am passionate about learning new technologies and continuously improving my analytical thinking, programming skills, and problem-solving abilities — particularly in the fields of artificial intelligence, machine learning, and data science.
I am always eager to learn, adapt to new challenges, and grow as a technology professional who creates innovative and impactful solutions.
01
Hybrid Convolution-Attention model for accurate thyroid nodule detection and medical image analysis.
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02
Real-time industrial safety monitoring using ESP32 microcontrollers with Cloud analytics pipeline.
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03
Adaptive stiffness estimation for robotic grippers in PyBullet physics simulation environments.
View Repository →A curated set of tools and technologies I work with to build intelligent, data-driven solutions.