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
See more
Presentations
(3)Likes
(87)Deep Video Object Tracking - Xavier Giro - UPC Barcelona 2019
Universitat Politècnica de Catalunya
•
5 years ago
Emerging 3D Scanning Technologies for PropTech
PetteriTeikariPhD
•
6 years ago
Microsoft at AHG 2017
Microsoft Accessibility
•
6 years ago
Squeezing Deep Learning Into Mobile Phones
Anirudh Koul
•
7 years ago
Deep Neural Networks for Multimodal Learning
Marc Bolaños Solà
•
7 years ago
Visual7W Grounded Question Answering in Images
Universitat Politècnica de Catalunya
•
7 years ago
Dynamic memory networks for visual and textual question answering
Universitat Politècnica de Catalunya
•
7 years ago
Open-ended Visual Question-Answering
Universitat Politècnica de Catalunya
•
7 years ago
ROBORACE
Roborace
•
8 years ago
Building Intelligent Data Products
Stephen Whitworth
•
8 years ago
Deep Learning with Python (PyData Seattle 2015)
Alexander Korbonits
•
8 years ago
Deep Learning Class #1 - Go Deep or Go Home
Holberton School
•
7 years ago
Deep learning for_devs
Benjamin Taylor
•
8 years ago
Introduction to Deep Learning
Adam Rogers
•
8 years ago
Deep Learning: Theory, History, State of the Art & Practical Tools
Ilya Kuzovkin
•
8 years ago
Deep Learning Class #2 - Deep learning for Images, I See What You Mean
Holberton School
•
7 years ago
Python libraries for Deep Learning with Sequences
Alex Rubinsteyn
•
8 years ago
Practical Deep Learning
André Karpištšenko
•
8 years ago
A Product Manager's Job
joshelman
•
8 years ago
Search Engines
butest
•
14 years ago
Information Extraction from Web-Scale N-Gram Data
Gerard de Melo
•
9 years ago
Information Extraction
Rubén Izquierdo Beviá
•
9 years ago
Information Extraction
butest
•
14 years ago
Information Extraction --- An one hour summary
Yunyao Li
•
10 years ago
ppt
butest
•
14 years ago
Machine Learning for Information Extraction
butest
•
14 years ago
Maximum Likelihood Estimation
guestfee8698
•
14 years ago
The Method Of Maximum Likelihood
Max Chipulu
•
14 years ago
Introduction to Maximum Likelihood Estimator
Amir Al-Ansary
•
13 years ago
Indoor Positioning Systems
ProjectENhANCE
•
10 years ago
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
See more