Montreal, QC
+1 519-9943706
larissalages7@gmail.com
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Larissa Oliveira

Software Engineer - Data Engineer

  • BORN : February 25, 1994
  • EMAIL : larissalages7@gmail.com

About me

PROFESSIONAL PATH

I'm a trilingual software engineer who enjoys challenges. Graduated in Computer Engineering from the Federal University of Pernambuco and with 4 years of experience, I currently work as a Data Engineer. I am passionate about technologies, specially in the fields of Data Science, Machine Learning, Internet of Things, Embedded Systems and Web development. I always try to do courses and projects of different fields to learn more and improve myself. I work mostly with Python, SQL, C and C++. My past experiences allow me to create cost-effective and quality solutions. Having worked in the Machine Learning, Data Engineering and IOT industry since 2017, I'm excited by new opportunities for the technology to make the society better.

Work Experience

PREVIOUS JOBS

Data Engineer

AlayaCare
May 2019 - Present
  • Responsible for develop tools to check the integrity of data in the source databases and warehouse;
  • Create and maintain fully automated pipelines for data using Jenkins and python;
  • Working on projects centred on data migration and integration;
  • Extract, transform and load data to and from systems;
  • Developing tools for the automation of data team tasks.

Software Engineer & Data Scientist

Barcode of Life Data Systems
August 2018 - May 2019
  • Performing data analysis on biological big data;
  • Working on data visualization for bioinformatics;
  • Working on DNA Sequence Classification using Deep Learning;
  • Working with distributed search servers that support a large volume of data;
  • Developing software components and web/middleware modules in python to contribute to BoldSystems, a cloud-based data storage and analysis platform that supports the assembly and use of DNA barcode data.

Software Engineer

CESAR
July 2017 - July 2018

Machine Learning Engineer:

  • Responsible for creating software using machine learning and statistical modelling techniques to develop and evaluate algorithms with the aim of improve the equipment maintenance of a multinational company;
  • Exploratory analysis to identify anomalous events using historical data;
  • Applied feature engineering methods in the dataset;
  • Worked with highly unbalanced datasets;
  • Worked with Python, Scikit-learn, Pandas, and R.

Embedded Systems Engineer:

Embedded Systems Engineer in project Knot, an open source meta platform for IoT. Knot aims to ease the use of existing hardware and software IoT platforms, and is constructed on top of them. Responsible for KNoT Thing library, an Arduino library built to use minimal CPU and memory resources. Also responsible for the application's protocol.

Software Engineer Intern

CESAR
Mar 2017 - July 2017

Responsible for driving all milestones from proof of concepts towards successful launch of the products by working with cross functional teams and resolving all system level issues that may arise during product development process which includes HW/SW bringup, User Trials, Feature Development/Integration and also Post launch OS upgrades.

  • Responsible to technically support the product integration activities for a particular project;
  • Deep dive and resolve complex system issues related to HW/SW;
  • Support Manufacturing debugging HW/SW interface issues;
  • Analyze and debug critical issues in real-time, e.g. where issues can only be reproduced locally and cannot be progressed remotely;
  • Works directly with Product Integration PM providing accurate estimate, risk analysis and impact allowing PM to plan and track the project;
  • Capture and analyze key metrics to ensure device quality prior to launch (battery life, panic rate, call performance, etc).

Software Engineer Intern - Summer Job

CESAR
Jan 2017 – Feb 2017

An internet prototype of things was developed for a Deca faucet. The smart tap can know how much water the user is taking per day and ensure the quality of that water. The NodeMCU ESP8266 microcontroller was used to capture tap data, which is sent to the server (Firebase) to be made available to the user from an Android application.

Software Engineer Researcher

Motorola
May 2016 - December 2016

Researcher in Project CIn/Motorola. Development of a tool to help tests done in the company with artificial intelligence techniques, developed with Python and PyQt.

Education

ACADEMIC CAREER

Big Data Modeling and Management Systems

Coursera - University of California San Diego
June - 2020

Course: Machine Learning

Coursera - Stanford University
July 3, 2019

Bachelor Degree in Computer Engineering

Universidade Federal de Pernambuco
Graduated in 2017

Languages:

Portuguese

100%

English

95%

French

70%