AI Researcher

Delip Rao

I like to build products driven by AI research that is indistinguishable from magic. I have more than 15 years of AI experience and have worn many hats in the past:

1. Entrepreneur in Residence at the Allen Institute of AI.

2. VP of Research at the AI Foundation, where I manage a research team working on synthetic audio, video, and text generation for multimodal dialog.

2. Founder and CEO of Joostware AI Research, where my team offered AI research consulting services to Fortune 500 companies and select well-capitalized startups. I also offer a technical due-diligence service in AI to investors in some of the reputed VC firms in the Valley, including Andreessen Horowitz and Bloomberg Beta.

3. Author of a widely-used Deep Learning and NLP book using PyTorch, and author of many highly-cited papers in NLP and Speech.

4. Research Scientist and Individual Contributor at places like Amazon (Alexa early team), Twitter, and Google.

5. Founder of  The Fake News Challenge, a non-profit initiative to bring more than 1000 hackers and AI researchers worldwide to work on fact-checking related problems.

I am a hands-on technology leader passionate about bringing AI technologies for the benefit of humanity.

Founder/Researcher

I oversaw and managed AI Foundation's deep learning/machine learning research roadmaps in speech, language, and vision for generating and detecting artificial content.

Vice President of Research

Bringing AI researchers and engineers together to work on misinformation and disinformation problems.

Co-Founder and Organizer

We make state-of-the-art in AI, the state-of-the-practice in your business. Our expertise is in Machine Learning, Natural Language Processing, Computer Vision, and DeepLearning. Our clients typically include F500 companies and select well-capitalized startups.

Founder

Extracting insights from spoken conversations.

CEO/Founder

Natural Language Understanding for Amazon Echo (Alexa)

Research Scientist

I work on large scale machine learning and natural language processing related to search, relevance ranking, user personalization, and multilingual data.

Lead Software Engineer

Applying machine learning and natural language processing to address issues in

- Topic Modeling
- Named Entity Extraction and Disambiguation
- Relevance ranking
- Spam, impersonation, phishing, and other anomalous behaviors.

Worked on different areas of information extraction, multilingual NLP and Machine Learning. Wrote reams of code and published several research papers (c.f. publications section).

Researcher

Multilingual paraphrasing in more than 30 languages

Intern, Google Research

- Research related to Information Extraction.
- Multilingual Sentiment Polarity Detection

Thesis: "Learning from Heterogenous Knowledge Sources"

Worked on learning taxonomies from text.

Graduate Student

Worked on:
Information Extraction
Rule Learning