Andres Quiroz, Developer in San Jose, CA, United States
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Andres Quiroz

Verified Expert  in Engineering

Big Data Developer

Location
San Jose, CA, United States
Toptal Member Since
February 22, 2016

Andres is a Ph.D. in Computer Engineering, graduated from Rutgers University, who specializes in autonomic computing, cloud computing, and large-scale distributed systems. He has research and development experience in data analytics, cloud resource management, and middleware, with particular expertise in Java, C++, and Android.

Availability

Part-time

Preferred Environment

GitHub, IntelliJ IDEA, NetBeans

The most amazing...

...collection I have is a library of over ten years' worth of reusable Java code I've created for various projects and continue to use to this day.

Work Experience

Research Scientist Level III

2010 - 2015
Xerox PARC
  • Submitted 12 patent applications (1 awarded so far) in the areas of automated business process management, data privacy management, data analysis, and distributed middleware.
  • Led a project team (5 people) to design and prototype a scalable cloud analytics platform for the IT Outsourcing group at Xerox.
  • Worked on a contribution to the Apache Hive open source project to extend functionality for large scale joins.
  • Finalist in Services Cup contest of the IEEE International Conference on Service Computing (SCC), 2012, with Automating Reusable Workflow Development from design to instantiation.
  • Successfully demoed, at a Xerox client symposium, a hybrid cloud workflow using 1000+ processors over 3 cloud sites.
Technologies: Apache Hive, Apache Pig, MapReduce, Hadoop, HBase, Java

Graduate Assistant and Post-doc

2005 - 2010
Rutgers University
  • Received Academic Excellence Award from the Department of Electrical and Computer Engineering.
  • Contributed to the creation of the NSF Center for Autonomic Computing, serving as Industrial Advisory Board Chair in 2012.
  • Contributed to the design and early development of CometCloud (http://nsfcac.rutgers.edu/CometCloud), a virtual computational cloud infrastructure that integrates local computational environments and public cloud services on-demand.
  • Co-chaired the Doctoral Symposium at the International Conference on Autonomic Computing (ICAC 2009, 2010).
  • Created a distributed clustering algorithm running on a peer to peer network that scaled to thousands of nodes.
Technologies: Amazon Web Services (AWS), Amazon EC2, Java

Sudoku Solver

Developed a Sudoku solver to explore strategies needed to play the game effectively. The objective was to determine whether it was possible to solve Sudoku puzzles without resorting to backtracking. My code includes fundamental classes that manage and update the game state. This state consists of the remaining possibilities for each cell, as well as the potential cells for each number within a patch, i.e., row, column, or square.

The main loop of the solver follows two primary approaches. First, it selects a cell with only one possibility remaining. If such a cell cannot be found, the solver identifies the remaining cell within a patch for a particular number. In the absence of both of these conditions, the code attempts to apply reduction strategies from a set of pluggable classes.

These reduction strategies analyze the current state of the board to eliminate possibilities for each cell or patch. The main loop continues until either the Sudoku puzzle is solved or until no ultimately constrained cell is found and no reduction strategy proves successful. This code can solve most easy and medium-level Sudoku boards and even tackle some difficult boards using the aligned cell strategy.

Java Programming 5 Library

https://github.com/aquirozsea/programming5
Programming utility library containing reusable Java code to wrap and/or extend basic classes of the Java API.

Comet Cloud

Initial contributor to the Comet Cloud project, which is an autonomic framework for enabling real-world applications on dynamically federated, hybrid infrastructure integrating (public & private) clouds, data-centers and Grids. Built DHT and messaging layers on which Comet Cloud is based.

Languages

Java, C++, SQL, JavaScript, HTML, XML

Frameworks

Hadoop

Paradigms

MapReduce, Distributed Programming, Agile Software Development

Libraries/APIs

Java RMI, jQuery

Platforms

Apache Pig, Amazon EC2, Linux, NetBeans, Amazon Web Services (AWS), Android

Storage

Apache Hive, NoSQL, JSON, HBase, Cassandra, PostgreSQL, MySQL

Other

Big Data, Machine Learning, Analytics, Development

Tools

IntelliJ IDEA, GitHub

2005 - 2010

M.Sc./Ph.D. Degree in Computer Engineering

Rutgers University - New Jersey

1998 - 2004

B.Sc. Degree in Computer Engineering

Eafit University - Medellin, Colombia

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