Hemen Ashodia, Deep Neural Networks Developer in Ahmedabad, Gujarat, India
Hemen Ashodia

Deep Neural Networks Developer in Ahmedabad, Gujarat, India

Member since November 30, 2017
Hemen has nine years of experience in full-stack development and five with machine learning, but in that short time span, he's worked on hundreds of machine learning projects. He possesses an uncommon expertise in artificial neural networks, deep learning, reinforcement learning, generative adversarial networks, and the like. Hemen also has worked for companies that were later acquired by Intel (mainly for their machine learning development).
Hemen is now available for hire

Portfolio

Experience

  • PHP, 9 years
  • C, 9 years
  • C++, 9 years
  • Deep Learning, 6 years
  • Python, 6 years
  • Deep Neural Networks, 6 years
  • TensorFlow, 4 years
  • Laravel, 3 years

Location

Ahmedabad, Gujarat, India

Availability

Part-time

Preferred Environment

TensorFlow, Keras, Python, PHP, Laravel, Angular

The most amazing...

...Invented the fastest data structure algorithm, h+Tree which was 300% faster than b+Tree— saving 40%-to-66% in energy/server cost.

Employment

  • Chief Scientist and Software Engineer

    2015 - PRESENT
    F(x) Data Labs PVT LTD
    • Invented the fastest data retrieval algorithm h+Tree that had an up to 300% speed increase than the conventional b+tree—this was particularly useful for all the popular databases like MySQL, PostgreSQL, MongoDB, SQLite, etc. The system was translated into several languages including C/C++, Python, and Scala.
    • Created a full-stack public cloud on the latest version of OpenStack with an infrastructure as a service, database as a service, and object storage service. The system was built with OpenStack, Python, Ansible Notebooks, Ubuntu 16.04, and Python unit tests.
    • Developed an artificial intelligence based enterprise resource planning (ERP) system for a 60-year-old real estate company with help of TensorFlow, a deep neural network, Laravel, Angular 4, Frappe, Python, MySQL, Ubuntu 16.0, and unit tests.
    • Built a loan prediction default system with an accuracy of 99.4% with help of TensorFlow, Python, and R. It also predicted the loan default amount with a 96.3% accuracy.
    • Implemented baby-cry detection with sound classification along with support vector machines (SVM) on Raspberry Pi to notify parents when a baby is crying.
    • Developed video classification with a deep neural network to detect different human gestures from the video as small clips; used an artificial neural network, Caffe 2.0, C/C++, convolutional neural network, and Nvidia CUDA.
    • Created a hospital-operation-room scheduler with artificial neural networks, Python, Laravel, Angular 4, CSS3, Vagrant, and unit tests.
    • Enabled video style transfers for 3D videos for an artificial neural network with PyTorch, Google Cloud, CUDA, and more.
    • Created 3D face mesh model from a single mobile camera based selfie with an accuracy of more than 98%. The project was built using PyTorch (a convolutional neural network, and CUDA).
    • Implemented a movie review sentiment analysis with a convolutional neural network, TensorFlow, Python, and Python Notebooks.
    • Developed a Lego bricks identification system to identify using TensorFlow with Go language and OpenCV.
    • Implemented cryptocurrency market prediction along with historical data of online trading using TensorFlow on the Go language.
    Technologies: TensorFlow, Python, Keras, Machine Learning, Neural Networks, Data Structures, C/C++, PHP, Laravel 5, AngularJS, Angular 4, Bootstrap 3/4, MySQL, Go
  • Lead Data Scientist and Machine Learning Expert

    2018 - 2018
    Johnson & Johnson - Data Science
    • Led and created data pipelines, which used millions of data points, for the identification of the best strategies to increase the effectiveness of professional educational events (specifically those events for medical device training all across the USA and elsewhere).
    • Verified the work done by another data science company in the domain of medical professional education events.
    • Worked directly with principle scientists of Johnson and Johnson - Data Science in New York.
    Technologies: TensorFlow, Python, Pandas, NumPy, Linear Regression, Logistic Regression, Data Modeling, Cleaning, Jupyter Notebooks, Artificial Intelligence, Machine Learning, Data Science, RedHat 7, Windows 10, Vagrant
  • Lead Go Developer

    2018 - 2018
    Loom Network
    • Built a Karma system for a decentralized crypto platform.
    • Implemented a Sparse Merkle Tree.
    • Developed a rate limiter for access control.
    • Designed with Oracle for a Loomchain platform.
    Technologies: Go, Solidity, LevelDB, Tendermint, Ethereum, JavaScript, Python, Raft Consensus Algorithm
  • Freelance TensorFlow Expert

    2018 - 2018
    Ever AI (via Toptal)
    • Worked for Ever AI, the world's leading face recognition technology company that raised a total of 30 million in funding. It implements face recognition at a planetary scale of 12 billion images.
    • Was tasked to invent the fastest algorithm to identify the correct face using machine learning.
    • Developed the fastest algorithm in less than half the time with a 99.81% accuracy.
    Technologies: TensorFlow
  • Chief Scientist and Chief Technology Officer

    2015 - 2015
    Zidisha, Inc.
    • Built new features and functionalities for a website with Laravel, Propel Bootstrap, Beanstalk servers and Ubuntu Trusty64.
    • Supported the entire back-end code and reviewed the front-end code that was done by other team members for further verification.
    • Implemented automatic language translation for each new user.
    • Worked as a remote engineer for a US-based company.
    Technologies: Laravel, Propel, Vagrant, CSS3, Bootstrap, Sass, GitHub, Ubuntu Trusty64, PayPal, Stripe
  • Founder and Lead Back-end Developer

    2013 - 2015
    Remarkin
    • Developed a video engagement prediction system with artificial neural networks, OpenCV, and Scala.
    • Constructed an interactive, gamification-based course for C/C++ with PHP, MN Framework, jQuery, JavaScript, and CSS3.
    • Built a remote interactive C/C++ compiler with a TinyC compile and a GNU compiler.
    Technologies: PHP, MN Framework, jQuery, Bootstrap, Responsive Design, MySQL, Design Patterns, C/C++, Windows Azure, Windows Service 2012, OpenCV, Artificial Neural Networks, Scala, Gamification
  • Project Trainer

    2012 - 2013
    Aspire Institute
    • Trained for a year for more than 150 students for their final year projects in the college.
    • Coached for C/C++ language programming skills.
    Technologies: PHP, MySQL, CSS, CSS3, HTML5, HTML, C, Advance C, C++, Object-oriented Programming
  • Web Developer

    2012 - 2013
    Cruxbot
    • Built a Parallax website that represented artificial intelligence based company.
    • Helped build an interface for the text summarization browser extension CruxLight.
    Technologies: Parallax Websites, jQuery, CSS3, HTML, JavaScript, PHP
  • Web Developer

    2011 - 2012
    Amitech
    • Developed Picinchat.com and enabled it to create mega emoticons from user uploaded images. These emoticons were created using PHP, the Facebook API, and the GD library.
    • Created a Ridje browser extension to allow clients to customize any web page that they visit and keep changes/customization persistent. This was built using JavaScript and the Chome extension developer toolkit.
    Technologies: PHP, Facebook Auth API, GD Library, CSS3, HTML5, JavaScript, jQuery, Chrome Extension
  • Freelance Developer

    2010 - 2011
    Self-employed
    • Created a real-time chatting feature for a site with a real-time feed of a user typing on the other side.
    • Developed a Flash-based cricket single player vs computer game.
    • Worked on a tic-tac-toe human vs computer machine.
    • Built a live video-streaming website with a screenshot for video scroll navigation.
    Technologies: C/C++, Flash, PHP, MySQL, HTML, CSS, jQuery, AJAX, JavaScript, MS Access, Node.js

Experience

  • F(x) Data Cloud (Development)

    A fully functional public cloud service based on the latest version of OpenStack. It provides an infrastructure as a service, database as a service, object as a service, network as a service, and storage as a service.

  • Invented h+Tree (Development)

    This is a 300% faster data structure algorithm for data retrieval—saving cloud costs by 40-to-66 percent.

  • Zidisha, Inc. (Development)
    https://zidisha.org/

    A Y-Combinator-based peer-to-peer microfinance startup based on Laravel—focusing on providing zero-interest loans in developing countries.

  • Cruxbot (Development)
    http://www.cruxbot.com/

    Cruxbot processes a vast amount of information to make complex and subtle logical connections, breaking down the barrier between people and machines.

  • BAKERI ERP | Artificial Intelligence Based ERP (Development)

    An ERP for a real estate firm to predict the most optimal contractors and manage the entire workflow for the firm.

  • Artudata (Development)

    A machine learning-based system to predict if a client will pay or not; all done with the RESTful API. This helps the client increase their conversion rate and increase revenue and save on costs.

    I built the dashboard for the company which provides marketing and advertisement management and analytics with Google AdWords APIs and the Facebook app. It provides a fully automated marketing experience managed with machine learning.

  • Korebin (Development)

    A hospital operating room scheduler based on machine learning.

  • Ever.ai | Face Recognition at a Planetary Scale (Development)
    https://ever.ai/

    I invented the fastest search algorithm to find the nearest embedding for the face recognition. I also reduced the complexity from n to log(n) for search.

  • Loom Network (Development)
    https://loomx.io/

    I built a dynamic Karma system for a leading Blockchain-based platform for the Loom network and implemented a Space Merkle Tree.

Skills

  • Languages

    JavaScript, R, PHP, Python, SCSS, Less, HTML5, CSS3, C, C++, Solidity, Java, Go
  • Frameworks

    Laravel, AngularJS, Angular, Bootstrap 3, Bootstrap 4, Selenium, Nova, Caffe, Laravel 5
  • Libraries/APIs

    Keras, jQuery, Three.js, PhantomJS, Laravel Elixir, Cinder, Python API Bindings for OpenStack, OpenCV, NumPy, NLTK, OpenNLP, TensorFlow, FFmpeg, Propel, Stripe, PyTorch
  • Tools

    Composer, Shell, VirtualBox, MATLAB, Stanford CoreNLP, TensorBoard, Git, Gulp.js, Subversion (SVN), Mathematica, Scilab, Microsoft Unit Tests, Beanstalk
  • Paradigms

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

    OpenStack, Arduino, CUDA
  • Storage

    MariaDB, MySQL, Redis, Oracle 10g, PostgreSQL, MySQL Clustering, MongoDB, InfluxDB
  • Other

    Natural Language Processing (NLP), Convolutional Neural Networks, Bootstrap UI, Macros, User Experience (UX), Networks, Azure Virtual Networks, Routing, Virtualization, Neutron, Ceilometers, HEAT, OpenStack Swift, Deep Neural Networks, Generative Adversarial Networks (GANs), Capsule Networks, Adam Optimization Algorithm, Standardization, WordNet, Deep Learning, Oracle VM VirtualBox, Trusty64, PayPal

Education

  • Certificate in Design Thinking (Venture Studio for Credit)
    2013 - 2015
    Venture Studio with Stanford University - Online
  • Bachelor of Engineering degree in Information Technology
    2010 - 2014
    Lalbhai Dalpatbhai College of Engineering - Ahmedabad, India
Certifications
  • Leadership and Excellence Award
    FEBRUARY 2015 - PRESENT
    Gujarat Technological University, Ahmedabad, Gujarat, India

To view more profiles

Join Toptal
I really like this profile
Share it with others