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Ketan Kanjiya, Machine Learning Developer in Ahmedabad, Gujarat, India
Ketan Kanjiya

Machine Learning Developer in Ahmedabad, Gujarat, India

Member since June 2, 2018
Ketan has 6+ years of experience in full-stack development with machine learning. He has 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. He also has in-depth expertise of full-stack public cloud development with OpenStack which is the largest project in computer science by far.
Ketan is now available for hire

Portfolio

  • F(x) Data Labs
    Python, R, TensorFlow, TFLearn, Caffe, Torch, Keras, DNN, CNN, MySQL, C/C++...
  • Self-employed
    Python, Torch, Vagrant, OpenCV, CNN, DNN, HMM-GMM, SVM, Sirius

Experience

  • C++, 8 years
  • Machine Learning, 6 years
  • Deep Neural Networks, 6 years
  • Python, 6 years
  • Torch AI, 5 years
  • TensorFlow, 4 years
  • Natural Language Processing (NLP), 4 years
  • OpenStack, 3 years
Ahmedabad, Gujarat, India

Availability

Full-time

Preferred Environment

Python, PHP, C, C++, TensorFlow, Torch, Ubuntu

The most amazing...

...project I contributed to was in h+Tree which is 300% faster then b+Tree and created full-stack public cloud with IaaS, DBaaS, OaaS, NaaS, and VPN.

Employment

  • Chief Research Officer

    2016 - 2018
    F(x) Data Labs
    • Contributed in refining h+Tree algorithm which is 300% faster technology than currently used b+Tree.
    • Developed a full-stack public cloud with IaaS, DBaaS, NaaS, OaaS, VPN. Worked extensively on Virtualization and virtual networking.
    • Created a resume parser to parse all the details from the resume into the appropriate format.
    • Analyzed historical data using machine learning. Implemented the machine learning based model which can calculate the user’s conversion probability from the historical data.
    • Created a text classification algorithm using word vector embeddings to classify event types from the event description.
    • Created an algorithm for an eCommerce site to identify when will particular item gets out-of-stock using RNN LSTM.
    • Implemented convolutional neural network on the MRI of the brain to classify the brain tumor in five different classes.
    • Created an algorithm for lottery prediction using RNN LSTM and AdaBoost algorithm along with Python.
    • Created a chatbot which can answer with reasoning using artificial intelligence. It uses Wikipedia dataset and trained using CNN-RNN.
    • Built an algorithm that finds the content of the images and videos in terms of Objects and Scenes. For this, I have used Convolutional Neural Networks, TensorFlow, and Keras.
    • Developed an algorithm for operation room scheduling for hospitals using artificial neural networks, Python, Laravel, Angular4, CSS3, and Vagrant.
    • Deployed the generative adversarial networks and created an algorithm to generate an image from text. It takes text description as an input and creates an image according to the text input.
    Technologies: Python, R, TensorFlow, TFLearn, Caffe, Torch, Keras, DNN, CNN, MySQL, C/C++, PHP/Laravel, OpenStack, QEMU, Angular4, Vagrant, NLP, MATLAB
  • Machine Learning Developer

    2013 - 2016
    Self-employed
    • 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

Experience

  • Fx Data Cloud (Development)

    Fx Data Cloud is a public cloud service which provides infrastructure as a service, database as a service, network as a service, virtual private network, storage as a service, and an object as a service. It is based on OpenStack architecture.

  • Korebin (Development)

    Korebin is a smarter healthcare system build with artificial intelligence. It serves the purpose of optimal scheduling and reporting for the hospitals to increase their revenue.

  • h+Tree (Development)

    h+Tree is data structure algorithm, which is 300% faster than currently used technology b+Tree.

Skills

  • Languages

    PHP, Java, Python 2, Python 3, C++, Python, C, R, Solidity, CSS3, CSS, Scala, HTML, JavaScript, SCSS
  • Frameworks

    Selenium, AngularJS, Laravel 5, AWS HA, Scrapy, Laravel, Django, Flask, Caffe, Angular, Nova
  • Libraries/APIs

    Google Cloud API, AWS EC2 API, Pandas, Python API Bindings for OpenStack, Beautiful Soup, NumPy, OpenNLP, TensorFlow, Torch AI, Stanford NLP, NLTK, REST APIs, Scikit-learn, Keras, OpenCV, jQuery, Node.js
  • Tools

    VPN, Virtualenv, KVM/Qemu, Cluster, Tableau, MATLAB Statistics & Machine Learning Toolbox, Git, VirtualBox, Vagrant, Mathematica, Subversion (SVN), MATLAB, NPM
  • Paradigms

    Data Science, Agile Software Development, Imperative Programming, Unit Testing, Functional Programming, Test-driven Development (TDD)
  • Platforms

    Amazon Web Services (AWS), Ubuntu 14.04, Ubuntu16.04, AWS EC2, Google Cloud SDK, AWS Lambda, Blockchain, Blockchain Platforms, Docker, KVM, AWS Cloud Computing Services, Raspberry Pi, CUDA, OpenStack, Percona, iOS, Android, Linux, MacOS, Ubuntu, Arduino, Windows
  • Storage

    Google Cloud, AWS S3, Google Cloud Storage, Google Cloud SQL, AWS RDS, Databases, Database Backups, Database Security, Database Caching, API Databases, Graph Databases, Database Management, Database Management Systems (DBMS), Local Storage, Distributed Databases, MySQL Clustering, Database Clustering, MySQLdb, MySQL Server, PostgreSQL, MySQL, MariaDB, MongoDB, Redis
  • Other

    Cloud Computing, Virtual Hosts, Networks, Network Protocols, Storage, Cloud Storage, Distributed Computing, Clustering, Hash, Galera Cluster, Cluster Computing, K-means Clustering, Classification, Classification Algorithms, Text Classification, Decision Tree Classification, Reinforcement Learning, Deep Reinforcement Learning, Tableau Server, Artificial Intelligence (AI), Artificial General Intelligence (AGI), Amazon Machine Learning, Google Cloud Machine Learning, Random Forests, Random Forest Regression, Decision Trees, Decision Tree Regression, Support Vector Machines (SVM), Binary Search Trees, Gradient Boosted Trees, Spanning Tree Protocol (STP), Cloud, Data Structures, Algorithms, Genetic Algorithms, Google Cloud ML, Ubuntu Server, Virtual Private Servers, Data Visualization, Lambda Functions, Data Analytics, Data, Data Analysis, Clustering Algorithms, Adam Optimization Algorithm, Raft Consensus Algorithm, Customized Blockchains, Cryptocurrency, Cryptocurrency Development, Virtualization, Virtual Machines, Machine Learning, Mathematical Modeling, Neutron, OpenStack Swift, Gated Recurrent Unit (GRU), Mathematics, Natural Language Processing (NLP), Deep Learning, Deep Neural Networks, Torch, Neural Networks, LSTM Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks (GANs), Mobile App Development

Education

  • Master's degree in Electronics and Communication Engineering
    2014 - 2016
    L.D. College of Engineering - Ahmedabad, India
  • Bachelor's degree in Electronics and Communication Engineering
    2010 - 2014
    L.D. College of Engineering - Ahmedabad, India
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