Marcela R.
Machine Learning/AI Engineer

Skills

Django

Ruby On Rails

Bash

Github

Neo4j

Python

C++

Postgresql

Jira

Marcela is available for hire

Meet Marcela R.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

Holding a Bachelor’s degree in Computer Science and a Master’s degree in Informatics from the Federal University of Paraná (UFPR), the candidate specializes in Natural Language Processing and Graph Representation Learning, as highlighted in their master's research. Further details on their projects and contributions are available on their GitHub profile, and their academic achievements and publications are documented on their Lattes CV.

Natural Language Processing (NLP) Engineer
12/31/2022 - Present

Contributed to a major voice assistant project used by millions globally. Specialized in developing scripts to automate data generation and curation in Brazilian Portuguese. Resolved issues related to Natural Language Understanding (NLU) for Portuguese, and implemented improvements in the domain parser model of the voice assistant. Conducted data analysis and data-driven decision-making to enhance the user experience in the Brazilian Portuguese market. Developed corpus tests to ensure high-quality language processing. Communication within the team was conducted in English, reinforcing the ability to work in an international environment.
AI Engineer
5/1/2021 - 11/1/2022

Artificial Intelligence Engineer responsible for the development and maintenance of AI APIs. Developed expertise in natural language processing, language models, text classification, text clustering, chatbots using graphs, and named entity recognition (NER). Collaborated closely with the research team to transition produced models into production. Utilized the Falcon Web framework for API development with Python. Employed technologies such as Neo4j for knowledge graphs, PostgreSQL, and various AWS services including CodeDeploy, CloudWatch, and S3. Proficient in Python libraries including scikit-learn, Keras, spaCy, NLTK, OpenCV, pandas, numpy, and the regular expression (re) module.
Tech Lead
2/2/2020 - 4/1/2021

Served as the Tech Lead for a squad of four developers, focusing on development with Python using the Django framework and task automation through artificial intelligence. Gained expertise in image processing and OCR, as well as the classification of financial records. Spearheaded the development of microservices dedicated to handling financial records and ensuring seamless integration with external APIs. Collaborated closely with the product team to define requirements, plan sprints, and allocate tasks among squad members. Provided continuous support to developers by troubleshooting and resolving problems encountered during the development cycle.
Research and Development Back End
10/2/2015 - 8/2/2018

Developed expertise in Ruby on Rails while working on an API with social networking features, as well as front-end development using React JS. Utilized Gitlab for repository management. Led a team of four developers for two years, overseeing all aspects of system deployment for both frontend and backend. Managed virtual machines for testing and production environments, ensuring smooth and efficient deployment processes.

Computer Science at Federal University of Paraná
2015 - 2018
Master's in Computer Science - Artificial Intelligence at Federal University of Paraná
2018 - 2020