Moises Baly, Developer in Cambridge, MA, United States
Moises is available for hire
Hire Moises

Moises Baly

Verified Expert  in Engineering

Machine Learning Developer

Location
Cambridge, MA, United States
Toptal Member Since
August 8, 2016

Moises is a software engineer who's interested in data exploration and analysis. He enjoys most working on complex problems that involve data structures, non-trivial algorithms, and mathematics. Moises' top priority is having a rock-solid team because if the people around him are great, anything can be accomplished. He also values transparency, honesty, and clarity of ideas.

Portfolio

Spatially
GeoTools, JTS Topology Suite, Apache Maven, SBT, Apache Cassandra, Flask...
ATOS Inc.
Apache Tapestry, CSS, HTML, DB, Oracle, Hibernate, Apache Maven, Java EE

Experience

Availability

Part-time

Preferred Environment

Windows

The most amazing...

...thing I've coded was a kernel density estimate function for spatial scoring of places based on distance.

Work Experience

Software Engineer

2015 - 2016
Spatially
  • Designed and implemented scalable/distributed spatial computation engines. As a member of the Core Engineering team, contributed to the development of the spatial-aware infrastructure.
  • Spearheaded the migration from a conventional spatial back-end infrastructure (PostgreSQL, PostGIS) to a NoSQL architecture sitting on top of technologies such as GeoWave, Cassandra, Spark, and others.
  • Developed micro-services for querying data sets counting millions of records.
  • Responsible for scaling and productizing the company's spatial research prototypes developed by our team of data scientists.
Technologies: GeoTools, JTS Topology Suite, Apache Maven, SBT, Apache Cassandra, Flask, Python, PostgreSQL, MongoDB, Apache Spark, Go, Java, Scala

Software Engineer

2014 - 2015
ATOS Inc.
  • Worked within ATOS e-payment services, specifically in a back-end project for financial entities and banks.
  • Assisted the team leader with project time management. Prepared and delivered technical demos to distributed teams in India.
  • Developed a web application for the monitoring of interbank movements of compensation and fraud.
Technologies: Apache Tapestry, CSS, HTML, DB, Oracle, Hibernate, Apache Maven, Java EE

Scientific Calculator and Simple Linear Equation Solver

This calculator supports addition, subtraction, multiplication, division, and log-on floating-point numbers. It can solve simple linear equations with a single variable (x). For simplicity, only addition, subtraction, and multiplication operations are allowed. Also, it supports parentheses in both modes.

The calculator is written in Scala using sbt. To run the project, at least Scala version 2.11.8 is required and sbt version 0.13.11.

2D Bin Packing Library for Irregular Pieces

https://github.com/mses-bly/2D-Bin-Packing
This project aims to provide basic functionality for solving 2D bin packing problems of irregular (and regular) sets of pieces.

The 2D bin-packing problem consists of a given a set of 2D pieces with unknown form or shape; we have to place them in a series of rectangular bins minimizing the material used. In other words, place all the pieces in as few bins as possible.

The problem is NP-hard, thus there is no guarantee that an algorithm will provide an optimal solution, although we can compare different solutions in terms of how many bins an algorithm has used for a particular set of pieces. This project tries a few heuristics and approximations in order to solve the problem with a reasonable amount of computational effort; given that a brute-force approach to the problem would take virtually an infinite amount of time.

Android with Geolocation API Integration | Sample code

https://github.com/mses-bly/AndroPlaces
Sample Android code that integrates the Google Maps API for Android with an API. Just a sample code, the API is no longer available.

Weka on Spark | Proof of Concept

https://github.com/mses-bly/WekaOnSpark
Code that integrates the Weka ML project with Spark. Written in Java, this is a proof-of-concept code project that seeks to integrate Weka's Machine Learning capabilities with a distributed framework such as Spark.
2016 - 2017

Master's Degree in Computer Science

Cornell University - Ithaca, New York (USA)

2008 - 2014

European Engineering Degree in Computer Science

Polytechnic University of Valencia - Valencia, Spain

Libraries/APIs

Pandas, NumPy, Scikit-learn, Spark ML, JTS Topology Suite

Tools

Amazon Elastic MapReduce (EMR), Git, GeoTools, Apache Maven, SBT, ScalaTest, IPython Notebook, PyCharm, IntelliJ IDEA, Spark SQL, Eclipse IDE

Frameworks

Apache Spark, Play, Flask, JUnit, Hibernate, Apache Tapestry, Django REST Framework

Languages

Scala, Python, Java, SQL, Go, HTML, CSS

Paradigms

Functional Programming, Spatial Databases, Object-relational Mapping (ORM), Scrum, Object-oriented Programming (OOP), Kanban

Platforms

Linux, Android, Java EE, Oracle, Windows, Apache Kafka

Storage

JSON, Oracle 11g, Cassandra, PostgreSQL, DB, MongoDB

Other

Machine Learning, Data Structures, GeoJSON, Apache Cassandra, Computational Geometry, Spatial Statistics, Apache Accumulo

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring