Top Apache spark Developers of June 2017
25+ years experience, top expert in Elasticsearch (FullText and Analytics), Data Engineering, Cloud, and for the Kotlin Language.
Haskell/functional programming pro and Amazon SDE.
I'm an Amazon SDE and ex-Microsoft RSDE. I've experience in a wide range of fields and technologies. From core computer science concepts to programming to building complicated industrial machine learning systems. I'm also a big fan of functional programming and have a in-depth grasp of Haskell and its related concepts.
Machine Learning Engineer
I'm a Software Engineer with a major focus on Machine Learning, enterprise web applications and distributed systems. I've built large-scale machine learning systems for clients in a variety of domains from start to finish. I’m passionate about personalizing users experience; to that effect, I’m currently building the personalization systems at Konga, connecting shoppers to products they’ll love and buy. I have strong interests in probabilistic graphical models, neural networks, latent factor models and their applications to recommendations and personalization, time series data and computer vision.
Data to Decisions - Anything; Everything
Pranav is a decision intelligence veteran delivering wisdom to humanity. Fanatic to make the world decision intelligent by executing exactness of technology, business, and processes.
I'm a Data Scientist at iGraal, Paris - France and also a spark and scala fanatic and evangelist. I'm mainly work on Scaling Ranking and Recommender Systems. I'm also part of the Awesome Spark team (https://github.com/awesome-spark).
Software/Data engineer with a background in web & systems programming. Ex-IBMer. I do a lot of Java and Python. I also have a fair bit of experience writing systems using micro-services and an event-driven architecture. Also, related to this, I can help with running large distributed data-intensive applications. My favoured stack is with Apache Kafka, Apache Cassandra and Apache Spark. I'm also very happy to talk about running python apps in production and any challenges that come with that.
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