Ravi kant Gupta
65
Followers
Personal Information
Unternehmen/Arbeitsplatz
New Delhi Area, India India
Beruf
Engineering Manager at Paytm
Branche
Technology / Software / Internet
Info
devotee of human engineering
Strong product development and R&D experience of eBay-CSC, SAP labs, Xebia, Talentica(Vuclip), Gramvaani, peopleStrong
Visionary in Product conceptualisation, analysing market trends and strategic product planning, creative thinking.
Product-process-productivity enrichment and optimization.
People management, client engagement and partnership, time-bound quality delivery of products.
Expertise in design, development of algorithms and their various types of analysis and optimization through various techniques.
Software performance engineering and scalability.
Confident of Java, data structures, design patterns, OOPs concept, having well exposure...
- Präsentationen
- Dokumente
- Infografiken
Scalability, Availability & Stability Patterns
Jonas Bonér
•
Vor 13 Jahren
How Netflix Directs 1/3rd of Internet Traffic
C4Media
•
Vor 8 Jahren
10 more lessons learned from building Machine Learning systems - MLConf
Xavier Amatriain
•
Vor 8 Jahren
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks
•
Vor 9 Jahren
Why your Spark job is failing
Sandy Ryza
•
Vor 9 Jahren
Introduction to the Disruptor
Trisha Gee
•
Vor 11 Jahren
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala
Helena Edelson
•
Vor 9 Jahren
Building a Recommendation Engine - An example of a product recommendation engine
NYC Predictive Analytics
•
Vor 13 Jahren
Hadoop Summit Europe 2014: Apache Storm Architecture
P. Taylor Goetz
•
Vor 10 Jahren
Tuning and Debugging in Apache Spark
Patrick Wendell
•
Vor 9 Jahren
Introduction to Kafka Streams
Guozhang Wang
•
Vor 8 Jahren
Lucene basics
Nitin Pande
•
Vor 14 Jahren
Top 5 Mistakes When Writing Spark Applications
Spark Summit
•
Vor 7 Jahren
Data Storage Tips for Optimal Spark Performance-(Vida Ha, Databricks)
Spark Summit
•
Vor 8 Jahren
How Uber scaled its Real Time Infrastructure to Trillion events per day
DataWorks Summit
•
Vor 6 Jahren
Introduction to Spark Internals
Pietro Michiardi
•
Vor 8 Jahren
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
Vor 7 Jahren
Deep Dive: Memory Management in Apache Spark
Databricks
•
Vor 7 Jahren
Project Quality Planning and KickOff
kaushikanirudh
•
Vor 12 Jahren