About me

A curiosity-driven Computer vision engineer, eager to leverage image processing and deep neural network to extract meaningful insights, make informed decisions and solve challenging business problems. I ensure to contribute with my knowledge, logical thinking and analytical skills towards the consistent growth and development of the organization and enhance my experience through continuous learning and teamwork. Currently working on object detection models on edge(Rpi to xavier nx) Skills: Tiny ML, Python, C++ , Tensorflow , embedded I am reachable at [email protected] My GitHub Profile : https://github.com/animeesh Expertise in computer vision and edge Proficiency with OpenCV TinyML is my interest of work. ie. deep learning on the microcontroller. CloudBatches: https://www.cloudskillsboost.google/public_profiles/bc979f35-152b-4dad-8c54-25e67b2f3371 Skillsets: Experience in the following areas - Image Restoration, Image Enhancement, Unsupervised Learning, Generative Models, Object detection and tracking or related computer vision topics Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra and probability Knowledge of computer vision/image processing techniques and awareness of existing and trending algorithms and research of the Computer Vision domain Programming experience in the following: C, C++, Python programming languages and deep learning frameworks like - - Tensorflow/Keras/PyTorch Technology: Skilled in Python (pandas, numpy, statsmodels, matplotlib, seaborn, scikit-learn, convolution neural networks (tensorflow, keras),Flask Api, Git (version control), Computer Vision (opencv), git, Tableau. My interest includes working on projects offering learning and understanding in the fields of Machine Learning, Computer vision, Deep Learning .