What I Do ?

As a passionate software engineer with a strong focus on deep learning computer vision, I bring a wealth of technical expertise and a drive for innovation to any project I undertake. With extensive experience in machine learning algorithms, neural networks, and image processing techniques, I have a proven track record of developing cutting-edge solutions that push the boundaries of what is possible.
My skills include proficiency in programming languages such as Python, as well as familiarity with deep learning frameworks including TensorFlow and Keras. I possess expertise in computer vision and optimization techniques, enabling me to design and implement sophisticated algorithms that yield high-quality results.
I thrive in collaborative environments and have a keen ability to communicate complex technical concepts to non-technical stakeholders. I am committed to staying up-to-date with the latest advancements in the field of computer vision and deep learning, and I am always eager to explore new technologies and approaches to problem-solving.
In summary, I am a dedicated software engineer with a passion for deep learning computer vision, a strong technical skill set, and a commitment to innovation.

Publications

I also have some research which I have poured through scientific papers specifically in the field of deep learning computer vision. You can see all of my publications through the following Google Scholar and ResearchGate accounts.

• G. Scholar
• ResearchGate

You can direct read my scientific paper here:

- Instance-Aware Semantic Segmentation for Food Calorie Estimation using Mask R-CNN (IEEE | ResearchGate)
- Comparison of Supervised Learning Image Classification Algorithms for Food and Non-Food Objects (IEEE | ResearchGate)