Stream Tech

Hi there,

Thank you for considering our agency for your project. We are excited to submit our proposal and demonstrate how our expertise can help you achieve your business goals.

As an agency, we offer a range of services that can help you with your project. Our team consists of experienced developers, designers, and project managers who work collaboratively to deliver high-quality work that meets your requirements.

We are a group of teams that consist of 2 Mobile App developers, one UX/UI developer and two Machine learning developers.

Mobile App development:

As a mobile app developer we have 4+ years of experience creating functional and visually stunning apps for both iOS and Android platforms. Have huge experience with mobile apps development using React Native, Expo API, navigators, App Center. Have done more than 18 apps that are on play store and working properly. Have experience in redux, use of figma, Integration with RESTFul APIs, firebase both (firestore and real time). Feel free to text if you want a zoom meeting, will do that and discuss more related to the project and you can ask any question related to this.

Computer Vision & Machine Learning:

I have studied many important topics in ML and NLP through online courses such that (CS229 Stanford University, by Prof. Andrew Ng), but the topics that I have covered theoretically and practically are: linear regression and logistic regression, locally weighted linear Regression, PCA, distribution fitting, neural network and backpropagation algorithm, deep learning and unsupervised feature learning, autoencoders, convolutional neural network (ConvNet), dropout regularization technique, K means, linear SVM, gaussian mixture model and Gaussian process. I have also worked on feature engineering, clustering and preprocessing.

For network or model optimization to increase the speed of inference:
Conversion from yolov3 to TensorRT Engine.
Conversion from resnet_ssd to TensorRT Engine.
Conversion from mobilenet_v2 to TensorRT Engine.
Conversion from yolov3.weights to .onnx format.

Expertise:

• C, C++, Matlab, Python, R, Bash
• OpenCV, Caffe, Tensor Flow, Keras, Theano, Torch, CUDA, Microsoft Cognitive Services
• Artificial NN, Convolutional NN, LSTM Recurrent NN, Deconvolutional NN
• Simultaneous Detection and Segmentation, Transfer Learning (alexnet, googlenet, vgg16)