Personal Information
Entreprise/Lieu de travail
New Delhi Area, India India
Profession
Engineering Manager at Paytm
Secteur d’activité
Technology / Software / Internet
À propos
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...
- Présentations
- Documents
- Infographies
Scalability, Availability & Stability Patterns
Jonas Bonér
•
il y a 14 ans
How Netflix Directs 1/3rd of Internet Traffic
C4Media
•
il y a 8 ans
10 more lessons learned from building Machine Learning systems - MLConf
Xavier Amatriain
•
il y a 8 ans
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks
•
il y a 9 ans
Why your Spark job is failing
Sandy Ryza
•
il y a 9 ans
Introduction to the Disruptor
Trisha Gee
•
il y a 11 ans
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala
Helena Edelson
•
il y a 9 ans
Building a Recommendation Engine - An example of a product recommendation engine
NYC Predictive Analytics
•
il y a 13 ans
Hadoop Summit Europe 2014: Apache Storm Architecture
P. Taylor Goetz
•
il y a 10 ans
Tuning and Debugging in Apache Spark
Patrick Wendell
•
il y a 9 ans
Introduction to Kafka Streams
Guozhang Wang
•
il y a 8 ans
Lucene basics
Nitin Pande
•
il y a 14 ans
Top 5 Mistakes When Writing Spark Applications
Spark Summit
•
il y a 7 ans
Data Storage Tips for Optimal Spark Performance-(Vida Ha, Databricks)
Spark Summit
•
il y a 8 ans
How Uber scaled its Real Time Infrastructure to Trillion events per day
DataWorks Summit
•
il y a 6 ans
Introduction to Spark Internals
Pietro Michiardi
•
il y a 8 ans
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
il y a 7 ans
Deep Dive: Memory Management in Apache Spark
Databricks
•
il y a 7 ans
Project Quality Planning and KickOff
kaushikanirudh
•
il y a 12 ans