Deep Dhillon
Founder & Data Scientist @ Xyonix - AI for Good, Solutions Made Simple
- Role
- Data Scientist, Founder at Xyonix
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Deep Dhillon
Deep\'s an accomplished tech exec with extensive experience leveraging AI in cutting edge products. Deep also serves as a strategic advisor to the University of Wisconsin ECE department, and multiple companies including: TrueRoll, Pictory, Delta Dental, Conversica, DexCare, ToiLabs, and Govstream.At Socrata (now Tyler Technologies), As CTO, Deep helped public sector agencies pipe their data into the cloud, transform it into readily usable forms leveraging data science and ML techniques, and power a new generation of transparency and efficiency applications.As Alliance Health\'s Chief Data Scientist, Deep helped empower patients by building automatically generated, natural language driven, high quality health information.As Evri CTO, Deep led development efforts for a large scale distributed NLP based semantic content recommendation engine used by multiple first tier media organizations at high transaction volumes.Before Evri, Deep was a Director of Engineering at Insightful (now Tibco). In this role, he led the development efforts for a large scale NLP based text analysis platform and search engine. In the summer of 2007, Deep arranged the multi million dollar sale of InFact, and helped oversee incorporating InFact’s intellectual property, core team and technology into Evri.Prior to Insightful, Deep was a founder and chief scientist at music search and identification company, Cantametrix where he led a team to build the world\'s first, large scale, fully automated, DSP based music identification and classification system. This technology has evolved into Gracenote\'s Music Id technology and is employed daily by millions of users in many diverse applications including Apple\'s iTunes, Yahoo! Music Engine and myriad audio appliances.
Experience
Data Scientist, Founder
Dec 2017 — Present · Seattle, WA, US
I teach machines how to converse and take actions with agency much like a great concierge; I also teach them to read your content, see what is in your imagery, watch what is in your videos and understand what is in your data. With this enhanced ability, your custom built AI service can give you insights and make high value predictions for you. Recent projects include:* automatic video transcript summarization, script generation and imagery search* highly conversational chatbot for college student* hospital unit patient population census predictor* smartphone and audio based abnormal heart beat detector* automated video annotation and segmentation engine of in body surgeries* rock star audience natural language text conversation parser and suicide ideation detector* medical surgery text review parser for sentiment and automated insight extraction* conversational sales lead bot response parser and insight extractor* insurance customer churn predictor and value assessor* employee engagement predictorGot data but unsure how to unlock its value? Check us out:
Education
Illinois Institute of Technology
B.S., Electrical Engineering
1989 — 1993
University of Wisconsin-Madison
M.S., Electrical Engineering
Skills
- Distributed Systems
- Software Development
- Machine Learning
- Scalability
- Algorithms
- Start-Ups
- Mobile Applications
- Text Mining
- Natural Language Processing
- Software Engineering
- Architecture
- Product Management
- Strategy
- Big Data
- Computer Science
- Hadoop
- Cloud Computing
- Java
- Text Analytics
- Web Applications
- Semantic Technologies
- Object Oriented Design
- Search
- Information Retrieval
- Information Extraction
- User Experience
- System Architecture
- Software Design
- Unix
- Mapreduce
- Recommender Systems
- Python
- Git
- Data Mining
- Agile Methodologies
- Rest
- High Performance Computing
- Open Source
- Product Strategy
- Eclipse
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