Machine Learning Developer

I have 6+ years of experience in full-stack development with machine learning.

I have a diversified experience in deep neural networks, convolution neural networks, recurrent neural networks, genetic algorithms, natural language processing, support vector machines, and generative adversarial networks.

I also have in-depth expertise of full-stack public cloud development with OpenStack which is the largest project in computer science by far.
Few of my previous work experience as follows:

- Developed an algorithm to generate a 3D model of faces from a single 2D mobile selfie using Python, Convolutional Neural Networks, PyTorch, and CUDA.
- Created an algorithm for image and video compression using similarity between images with the help of OpenCV.
- Developed an algorithm for classification of different sounds of drones using MFCC and LPCC features and then SVM and HMM-GMM classifiers.
- Developed an algorithm for speech assistant, using Sirius: An Open Intelligent Personal Assistant.
- Created a default loan predictor algorithm with 99.4% accuracy using Python and deep neural networks.
- Created an optical character recognition for Gujarati language using Python and OpenCV,.
- Extracted the legos from the videos and the classify it into 52 different classes using the convolutional neural network using Python.
- Worked on the CNN based binary text classification for the movie reviews to identify the positive and negative reviews with neural networks and Python.
- Developed an algorithm for moving object detection, which can find a moving object in a vibrant environment using deep neural networks, OpenCV, and Python.
- Technologies: Python, Torch, Vagrant, OpenCV, CNN, DNN, HMM-GMM, SVM, Sirius

Looking forward to more challenging work and experience through upwork.

Thanks

Work Terms

Hourly. Per week I can work more than 30 hours.