Felipe Albuquerque
Experienced Engineer with focus on backend and Machine Learning Applications
About
As a Machine Learning Engineer, I have successfully taken multiple projects from 0 to 1. Already had led teams to effectively achieve personal and collective goals, from research of SOTA models to products, ensuring an environment where people can do their best work. Currently, I work with mostly all Data Science packages, Python, Docker, MongoDB and Postgres. I have over 5 years of experience in working remotely with companies all around the world.
Work Experience
CK-12 FoundationRemote
2022 - -
Machine Learning Specialist
Worked on R&D with focues on features for an AI tutor, Chatbot, Machine Learning models deployments, Data Mining and Analysis. Worked on a diverse set of problems helping the team develop, test and deploy AI applications for a diverse natures of problems. Technologies: FastAPI, PyTorch, TorchServe, MongoDB, LLMs and ElasticSearch
NTT DataRemote
2020 - 2022
Data Scientist → Lead Engineer
Managed a team to develop and improve applications for language and image processing. Also worked as a consultant to other research teams and big companies. Had worked on several projects from Anomalies Detection to forecasting and recommendation. Technologies: Docker, AWS, GCP, Kubernetes, PyTorch, Transformers.
Neomove
2019 - 2020
Data Scientist
Managed ETL processes and their automation using Big Data tools and Cloud Computing. This role involved data exploration, analysis, and preparation for the implementation of Machine Learning algorithms, with a focus on prediction. Additionally, contributions were made to product development, utilizing AI to transcribe and analyze audio and text through Natural Language Processing (NLP). Technolgies: Spark, Airflow, Scala, SQL, scikit-learn, AWS, Databricks.
Heineken
2018 - 2018
Project Associate
Automation of production reports and dashboards.
Schneider Electric
2018 - 2018
Intern
Implemented SCADA system in an automated machine, utilizing the acquired data for strategic preventive maintenance. Responsibilities included data management and the development of a algorithms for data cleaning and identifying critical workstations.
Education
Federal University of Technology - Brazil
2013 - 2017
Bachelor's Degree in Electronic Engineering and Robotics
Polytechnic Institute of Bragança - Portugal
2017 - 2018
Master's Degree in Industrial Engineering
Skills
Python
SQL
PyTorch
Machine Learning
Generative AI
Sagemaker
Docker
FastAPI
Retrieval Augmented Generation