Personal Information
Organization / Workplace
San Francisco Bay Area United States
Occupation
Deep Learning Data Scientist at Microsoft AI & Research
Industry
Technology / Software / Internet
Website
http://koul.us
About
Koul (coincidentally pronounced 'Cool') brings a decade of production-oriented Applied Research / Data Science experience on Peta Byte scale Social Media datasets. An entrepreneur at heart driven by innovation, he has been running a mini startup within Microsoft, managing over 40 people spread across 4 geographical locations. He has worked on a variety of Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Information Retrieval & Search, Data Mining and Scalability related projects at Yahoo, Microsoft and Carnegie Mellon University. Rapidly prototyping ideas, he has won close to three dozen innovation, programming & 24 hour hackathon contests from companies incl...
Tags
deep learning
ios
mobile
coreml
keras
artificial intelligence
ai
tflite
mlkit
android
tensorflow
smartphone
tensorflow lite
convolutional neural network
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- Presentations
- Documents
- Infographics
A Product Manager's Job
joshelman
•
8 years ago
Big Data Analytics with Hadoop
Philippe Julio
•
14 years ago
How to Interview a Data Scientist
Daniel Tunkelang
•
11 years ago
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
8 years ago
Deep Learning - The Past, Present and Future of Artificial Intelligence
Lukas Masuch
•
8 years ago
Real time Analytics with Apache Kafka and Apache Spark
Rahul Jain
•
9 years ago
Introduction to Kafka and Zookeeper
Rahul Jain
•
10 years ago
State of Hardware 2015
HAX
•
8 years ago
Squeezing Deep Learning Into Mobile Phones
Anirudh Koul
•
7 years ago
Workflow Engines for Hadoop
Joe Crobak
•
10 years ago
Machine Learning Pipelines
jeykottalam
•
9 years ago
Real Time Analytics: Algorithms and Systems
Arun Kejariwal
•
8 years ago
Deep learning - Conceptual understanding and applications
Buhwan Jeong
•
9 years ago
Indoor Positioning Systems
ProjectENhANCE
•
10 years ago
Deep Learning and the state of AI / 2016
Grigory Sapunov
•
8 years ago
Hands-on Deep Learning in Python
Imry Kissos
•
8 years ago
DIY Deep Learning with Caffe Workshop
odsc
•
8 years ago
Tachyon and Apache Spark
rhatr
•
9 years ago
Information Extraction
Rubén Izquierdo Beviá
•
9 years ago
Introduction to Maximum Likelihood Estimator
Amir Al-Ansary
•
13 years ago