Amol Kelkar, Deep Neural Networks Developer in Redmond, WA, United States
Amol Kelkar

Deep Neural Networks Developer in Redmond, WA, United States

Member since July 31, 2019
Amol is a seasoned technologist with 18 years of experience. He has worked in artificial intelligence, as a computational neuroscience research scientist, as a machine learning engineer, CTO, entrepreneur, vice president of engineering, and product strategist. He has invented eight patents and written two publications in his field. Amol has also founded, and participated in several startups.
Amol is now available for hire

Portfolio

  • Got It AI
    Deep Neural Networks, Natural Language Processing (NLP)...
  • i3ai.org
    Amazon Web Services (AWS), Pandas, Google Cloud, PyTorch, Python
  • Office Space
    Amazon Web Services (AWS), React, JavaScript, PostgreSQL, Redis, Python...

Experience

Location

Redmond, WA, United States

Availability

Part-time

Preferred Environment

Jupyter, Git, PyTorch, Python

The most amazing...

...machine learning algorithm I've developed learns disentangled representations using brain-like laterally connected neurons.

Employment

  • Head of AI R&D

    2018 - PRESENT
    Got It AI
    • Led AI R&D efforts at Got It AI, a conversational AI company that offers an award-winning, state-of-the-art platform for building fluid, conversational task-oriented virtual agents.
    • Envisioned, designed, and built Progressive Flow Discovery, the technology behind Got It AI's products for automated conversational flow discovery from historical conversational logs. This system uses large language models (LLMs) like Bert.
    • Envisioned, designed, and built Article Bot, a fluid conversational interface over a set of articles/knowledge bases. This technology uses generative deep learning models.
    • Led a team of ML engineers, product engineers, and applied ML scientists.
    Technologies: Deep Neural Networks, Natural Language Processing (NLP), Artificial Intelligence (AI), Python 3, PyTorch, Clustering, System Architecture
  • Founder and AI Research Scientist

    2017 - PRESENT
    i3ai.org
    • Founded a state-of-the-art machine learning research organization. He is the lead researcher.
    • Utilized novel methods for reinforcement learning and representation learning.
    Technologies: Amazon Web Services (AWS), Pandas, Google Cloud, PyTorch, Python
  • CTO

    2013 - 2017
    Office Space
    • Managed software development, web infrastructure, and product.
    • Built a sophisticated ETL infrastructure to synthesize data from various semi-structured data sources with my team. The web application provides a listings discovery and communication platform used by more than 100,000 users each month.
    • Grew the Office Space listing count by ten times, and leads by 12 times the previous amount.
    Technologies: Amazon Web Services (AWS), React, JavaScript, PostgreSQL, Redis, Python, Ruby on Rails (RoR), Ruby
  • Director of Technology

    2010 - 2011
    King of the Web
    • Ran the technology, engineering, and web operations.
    • Developed seven releases from prototype to public beta in less than five months.
    • Hired and managed an excellent engineering team.
    • Contributed to product definition and strategy.
    Technologies: Redis, PostgreSQL, Ruby on Rails (RoR), Ruby
  • Founder and CEO

    2008 - 2010
    Aflatune
    • Oversaw recruiting and managing technical and marketing resources, business development, and investor relations. Aflatune was a music streaming service with development offices in the US and India.
    • Aflatune used state-of-the-art machine learning techniques for music recommendations and scalable architecture for the streaming platform.
    Technologies: Machine Learning, jQuery, JavaScript, CSS, PostgreSQL, Ruby on Rails (RoR), Ruby
  • Software Engineer

    2000 - 2008
    Microsoft, Corp.
    • Developed products and services such as Internet Explorer, NetDocs, InfoPath, Office, and Windows Live (Bing).
    • Invented and developed eight patents.
    • Developed software using .NET and C#.
    • Interviewed and mentored software engineers.
    Technologies: C#

Experience

  • OfficeSpace.com
    http://officespace.com

    I developed the OfficeSpace.com platform. I managed software development, web infrastructure, and product. My team built a sophisticated ETL infrastructure to synthesize data from various semi-structured data sources and a web application that provides listings discovery and a communication platform used by over 100,000 users each month.

Skills

  • Languages

    Ruby, Python, Python 3, C#, CSS, JavaScript
  • Frameworks

    Ruby on Rails (RoR), Ruby on Rails 4
  • Libraries/APIs

    PyTorch, Pandas, jQuery, React
  • Other

    Machine Learning, Deep Reinforcement Learning, Natural Language Processing (NLP), Image Processing, Deep Neural Networks, Artificial Intelligence (AI), Clustering, System Architecture
  • Tools

    Git, Jupyter
  • Platforms

    Amazon Web Services (AWS)
  • Storage

    Redis, Google Cloud, PostgreSQL

Education

  • Master's Degree in Computer Science, Computational Neuroscience
    1999 - 2001
    University of Texas at Austin - Austin, Texas, USA

Certifications

  • Deep learning by Nando de Freitas
    MARCH 2018 - PRESENT
    Oxford
  • Reinforcement Learning by David Silver
    NOVEMBER 2017 - PRESENT
    DeepMind

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