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Josias
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Josias

Vila Velha, Espirito Santo, Brazil --:--:--

Josias is an experienced developer who has experience with research and development on full SLAM (simultaneous localization and mapping), localization, sensor calibration, and motion planning algorithms as well as web application development. Josias has his Bachelor of Engineering (B.E.) in Electrical Engineering, Bachelor’s degree in Computer Science, and a Master’s degree in Computer Science.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
Node
jQuery
Java
JavaScript
Python
.NET
.NET Core
Ruby
Android
CSS
ASP.NET MVC
Docker
HTML
Databases
XML
Spring
AWS
PostgreSQL
JSON
Hibernate
REST
C++
Kotlin
C#
Magento
Django
Flask
Objective-C
SQL Server
MySQL
Developer Personality

Independent

Collaborative

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Algorithms

SLAM

Research

LiDAR

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Mobile

Databases

Robotics

MODERATE
EXTENSIVE
EXPERT
Portfolio

Brick Abode

Software Specialist

Categories

Work Experience : 2020-Present

Worked with a team on a large Android project. I removed some difficult bugs and added new features.
Worked on an open source project to add C# and F# as procedural languages to the PostgreSQL database.
Worked on a network management project for a USA company. I created some Python and Ansible scripts to manage their routers, firewalls and other devices from multiple vendors (+100k devices).
Working in a project from a non-profit organization on USA. We built an analytics platform to aggregate statistics from several social
networks (Facebook, YouTube, Instagram, etc) and their related advertisement platforms (e.g. Google Ads and Facebook Ads).

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Geocontrol Servicos

Developer

Categories

Work Experience : 2017-2020

Responsible for web applications and services development as well as Android application development.

Features

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High Performance Computer Lab

Undergraduate Researcher

Categories

Work Experience : 2015-2017

Investigated mathematical models of smooth pursuit eye movements (SPEMs) available in the literature and I developed a new visual object tracking system that integrates usual tracking algorithms (OpenCV) and a custom SPEM computational model based on the Krauzlis-Lisberger work

Developed a new full SLAM (Simultaneous Localization and Mapping) system capable of building larger environment maps in comparison with the IARA’s previous one, calibrating some sensors extrinsic and finding the odometry bias. The new system helped the team to accomplish the Guarapari Travel Project in which the autonomous vehicle successfully traveled 74km from the Universidade Federal do Espírito Santo (city of Vitoria – ES) to Guarapari.

Developed a reliable LiDAR odometry approach that improved the precision of the vehicle estimated poses as it takes care of most moving objects and sensor noise.

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