Developed SleepNet, LSTM-CNN architecture, to detect sleep pose with a classification accuracy of 85.74%
2025
Research Experience
Applied CLAHE, Top-hat & Black-hat image processing to enhance fine retinal vessel contrast in images
2022-24
Rakshak, IIT Bombay
AI Scientist
Fine-tuned YOLOv8 for aerial object detection of cars, humans, buildings using DOTA & xView dataset
My Skills
Core competencies that drive my performance.
Programming
Python99 %
C++96 %
MATLAB98 %
LaTeX90 %
R92 %
SQL95 %
Arduino91 %
Tools
GitHub98 %
Jupyter97 %
Google Colab90 %
Gradio99 %
VS Code94 %
Bash91 %
Libraries/FrameWorks
NumPy90 %
Pandas98 %
Matplotlib98 %
Keras91 %
Scikit-Learn95 %
PyTorch92 %
TensorFlow94 %
OpenCV93 %
SciPy92 %
XGBoost94 %
Education
Empowering Creativity through
2021 – 2025
B.Tech
Indian Institute of Technology, Bombay
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