Top Apache spark Developers of May 2017

Computer Scientist

Building things like software products and intelligent machines and systems is the best job in the world! So if you want to have a chat about computers, let me know.

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.

A Passionate Geek.

I have 4+ years of professional Software Development. I am a team player with a passion for innovation, disruptive technology and always welcome constant change.

Python Developer

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.

A Passionate Geek

I figured you probably want to know a little more than my passion for tech. Professionally, I am a Software Engineer currently working with an awesome startup based out of San Francisco. With progressively responsible software engineering experience in business domains using latest technologies and platforms, result oriented, hands-on problem-solving, debugging and analytical capabilities. Passionate about balancing meeting resource and time constraints while doing it right, motivated with intellectual, analytical and creative ability to learn quickly, bringing a strong foundation of knowledge and skill set, well developed communication and interpersonal skills. I enjoy taking problems and turning them into simple and beautiful interface design. I love programming and always strive to be in sync with the newest technologies.

Scala Fanboy

I'm a scala fanboy. I write distributed systems in Scala using Akka, Spark and Play. I come from a non traditional programming background, shifted from microbiology to software engineering by way of a programming bootcamp.

Data Scientist at Personagraph

Krishna is a Masters from IIT Kanpur and has been in software engineering for more than 4 years and in advanced data sciences for around 2 years. He has hands-on working experience on the entire life cycle of the data – from building front systems, building/maintaining data-warehouses, descriptive reporting, visualization and high end analytics. He has been executing projects in the filed of mobile ads optimizations, Game loyalty systems, portfolio optimization etc. His proficiency extends from usage of algorithmic technique to usage of Hadoop and other Big data technologies. Data Analytics Projects: Song Recommendation System - have developed a Song Recommendation System which recommends songs to people based on their listening history Game Loyalty Program - Identify most loyal customer for the gaming company based on its customer’s details and their previous game preferences. Stocks Portfolio Optimization - to identify the best portfolio from the available stocks by minimizing risks and get best returns. Working on ads revenue optimization - to optimize revenue based on the adstream data by modeling and improving click through rate of impressions and conversion rates of advertisements.

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