Pranav Prakash
414
Abonné
Personal Information
Entreprise/Lieu de travail
New Delhi Area, India India
Profession
My Algorithms understand you
Secteur d’activité
Technology / Software / Internet
Site Web
pranavprakash.in
À propos
Software Engineer with a decade of experience delivering wide spectrum engineering products. Build and scaled teams. Some of my areas of work include Industrial IoT Platform, Multi Agent Path Planning, 3D Reconstruction, Computer Vision, Search Relevance, Content recommendations, Data Pipeline and Distributed Systems architecture design, User Behaviour Analysis, Scalability by Design. Most of these include some form of applied Artificial Intelligence.
Mots-clés
dataengineering
pranav
university of toranto
university of toronto
big data
intelligence
technology
prakash
machine learning
artificial intelligence
test
testing
delhi
opensource
solidry
hadoop
lucene
solr
linkedin
osdconf
2014
mapreduce
oct13
桔子
નારંગી
संतरे
mit
oxygen
category theory
software engineering
mathematics
pennsylvania
recommender systems
coldfusion
ajax
web 20
cloud
2010
pycon
appengine
google
india
Tout plus
- Présentations
- Documents
- Infographies
Playing to Win
Anthony Flores, CAPM
•
il y a 8 ans
Scalable complex event processing on samza @UBER
Shuyi Chen
•
il y a 7 ans
Semantic technologies for the Internet of Things
PayamBarnaghi
•
il y a 9 ans
Internet of Things and Data Analytics for Smart Cities and eHealth
PayamBarnaghi
•
il y a 7 ans
Iwama 2014 - Shanghai
Lapo Chirici
•
il y a 8 ans
KIVA system
Dev Poudel
•
il y a 11 ans
Paris ML meetup
Yves Raimond
•
il y a 8 ans
The Hierarchy of Engagement
Greylock Partners
•
il y a 8 ans
You Are Not As Rational As You Think
Yang Ao Wei 楊翱維
•
il y a 7 ans
The Three Lies About Your Age
Sean Si
•
il y a 8 ans
Deep Learning - The Past, Present and Future of Artificial Intelligence
Lukas Masuch
•
il y a 8 ans
Design Ethics for Artificial Intelligence
Charbel Zeaiter
•
il y a 8 ans
A World Beyond Ad Blockers: Using Relevance to Take Control of Social Marketing
Brand Networks
•
il y a 8 ans
Implementing Click-through Relevance Ranking in Solr and LucidWorks Enterprise
Lucidworks (Archived)
•
il y a 12 ans
Learning to Rank in Solr: Presented by Michael Nilsson & Diego Ceccarelli, Bloomberg LP
Lucidworks
•
il y a 8 ans
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
il y a 8 ans
Better Search Through Query Understanding
Daniel Tunkelang
•
il y a 9 ans
Startup Roadmap Workshop
Michael Skok
•
il y a 9 ans
World Bodypainting Festival 2015 in Austria
maditabalnco
•
il y a 8 ans
Writing code you won't hate tomorrow
Rafael Dohms
•
il y a 9 ans