Head of AI R&D
2018 - PRESENTGot 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 ArchitectureFounder and AI Research Scientist
2017 - PRESENTi3ai.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, PythonCTO
2013 - 2017Office 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), RubyDirector of Technology
2010 - 2011King 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), RubyFounder and CEO
2008 - 2010Aflatune- 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), RubySoftware Engineer
2000 - 2008Microsoft, 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#
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 AIDeep Neural Networks, Natural Language Processing (NLP)...
- i3ai.orgAmazon Web Services (AWS), Pandas, Google Cloud, PyTorch, Python
- Office SpaceAmazon Web Services (AWS), React, JavaScript, PostgreSQL, Redis, Python...
Experience
- PostgreSQL 12 years
- Python 6 years
- Deep Neural Networks 5 years
- PyTorch 3 years
- Machine Learning 3 years
- Pandas 2 years
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
Experience
- OfficeSpace.comhttp://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, JavaScriptFrameworks
Ruby on Rails (RoR), Ruby on Rails 4Libraries/APIs
PyTorch, Pandas, jQuery, ReactOther
Machine Learning, Deep Reinforcement Learning, Natural Language Processing (NLP), Image Processing, Deep Neural Networks, Artificial Intelligence (AI), Clustering, System ArchitectureTools
Git, JupyterPlatforms
Amazon Web Services (AWS)Storage
Redis, Google Cloud, PostgreSQL
Education
- Master's Degree in Computer Science, Computational Neuroscience1999 - 2001University of Texas at Austin - Austin, Texas, USA
Certifications
- Deep learning by Nando de FreitasMARCH 2018 - PRESENTOxford
- Reinforcement Learning by David SilverNOVEMBER 2017 - PRESENTDeepMind
