Fj Vincent Atabay
Machine Learning Engineer
Quezon City
Summary
A passionate data science and machine learning enthusiast. Intellectually curious, forever-learning, and always eager to embrace new challenges and opportunities.
Overview
1
1
year of professional experience
6
6
years of post-secondary education
2
2
Certifications
Work History
Machine Learning Engineer
Ramcar Technology Inc.
09.2023 - Current
- Developed and maintained computer vision models to detect visual defects in automotive battery manufacturing.
- Developed and maintained time-series forecasting models for machine condition monitoring to optimize maintenance scheduling and reduce downtime.
- Implemented MLOps pipelines for automatic data ingestion, model retraining, monitoring, and deployment.
- Developed APIs for machine learning models for microservices.
- Collaborated with data engineers, analysts, and software engineers to integrate models into software solutions.
Machine Learning Intern
Ramcar Technology Incorporated
02.2023 - 07.2023
- Developed a machine learning model with 95% accuracy in detecting anomalies in machines used for automotive battery manufacturing
- Collaborated with clients and domain experts to meet project requirements and objectives
- Worked with the development team to integrate the model into a software solution for implementation.
Education
BSc Computer Engineering - Science, Technology, Engineering, and Mathematics (STEM)
Technological Institute of the Philippines
06.2019 - 05.2023
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Our Lady of Fatima University
06.2017 - 05.2019
Skills
Certification
Udemy: Python for Data Science and Machine Learning Bootcamp, 10/2022
Accomplishments
- 3rd International Informatics and Software Engineering Conference (IISEC) Certificate of Presentation, Received a certificate of oral presentation for IISEC-IEEE paper publication held in Ankara, Turkey, on December 15-16, 2022.
- 1st Runner Up ICPEP Challenge 2021 Programming Competition (Python), Received a recognition for becoming 1st Runner Up in Institute of the Computer Engineers of the Philippines (ICPEP-NCR) Programming Competition.
Projects
- Cacao Automated Quality Assessment using Object Detection (CAQAO), Led a team of 4 to develop a system for quality assessment of cacao beans, improving efficiency and accuracy for farmers.
- Multivariate Time Series Electricity Consumption Forecasting, Led a team of 3 and presented and published the project on IEEE Xplore.
- Kaldereta, Afritada, Menudo and Mechado Image Classifier, Developed an image classifier with 83% accuracy in classifying tomato-based Filipino dishes that are commonly confused with one another by Filipinos.
- Fetal Health Classification, Worked on a predictive model with 94% accuracy in classifying fetal health in order to prevent child and maternal mortality using Cardiotocograms (CTGs) data.
Timeline
Machine Learning Engineer
Ramcar Technology Inc.
09.2023 - Current
Machine Learning Intern
Ramcar Technology Incorporated
02.2023 - 07.2023
BSc Computer Engineering - Science, Technology, Engineering, and Mathematics (STEM)
Technological Institute of the Philippines
06.2019 - 05.2023
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Our Lady of Fatima University
06.2017 - 05.2019
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