Calin Timbus, Ph.D.
Seasoned Machine Learning Engineer, who constantly learning about Machine&Deep Learning and focused on expanding my knowledge in this domain.
Working on several Computer Vision, NLP/NLU and other Deep Learning related projects.
Skill
Experience
Vetting results
Machine learning
Certifications
Experience
Skills
Languages: Python
Frameworks: TensorFlow, PyTorch, Keras, FastAI, Scikit-Learn
Management Tools: Jira (Issue Tracker), Jenkins
Other Tools: RabbitMQ, Docker
Libraries: NumPy, Pandas
Work Experience
Senior Machine Learning Engineer, Enablon, 2022 - present
My work is concentrated on several projects, including Computer Vision and Natural Language Understanding with application in the safety&health industries:
- Building several deep learning pipelines (CV&NLU) with Azure Machine
- Learning SDKv2.
- Using Azure Functions for the implementation of triggering mechanisms / subsequent processing.
- Modelling on NLU and Computer Vision, proposing features per-project basis.
- Optimizing model deployments
Senior Data Scientist, IBM, 2021 - 2022
I was actively involved in :
- Working on several NLU tasks inside the project I was part of. I was responsible for assessing, proposing and implementing improvements + NLU
architectures in the existent system.
Taking interviews for Machine Learning & Data Science roles (both internal - external (the project I was part of was international)).
- Mentoring colleagues with regard to the ML&DS field (Computer Vision, NLU).
- Led the ML development in a joint AWS&IBM hackaton competition, using AWS SageMaker and detecting areas of interest from satellite images.
- I held numerous GBS Associates presentations, introductory Machine&Deep Learning + AWS Cloud examples. My overall NSI (net satisfaction index) was +94 and my NPS +76 (both 0-100).
Teaching Assistant, Technical University of Cluj-Napoca, 2020 - present
Teaching Introduction to Machine+Deep Learning and Linear Algebra.
Member and Mentor, Stack Overflow, 2019 - Present
Provide answers on different technologies, to help users solve their problems; at the same time, I indulge in viewing other answers/perspectives on different
problems in order to learn as much as possible. My focus is on machine&deep learning technologies.
Badges:
- Silver: TensorFlow, Keras, Python
- Bronze: Deep Learning, Machine Learning
- 2020: Top 0.34% reputation gain.
- 2021: Top 0.71% reputation gain.
Machine Learning Engineer, Telenav, 2019 - 2021
Working on a pipeline which concerns extracting relevant information from the traffic scenes.
Technologies used: Python, TensorFlow, PyTorch, TensorRT, Keras, FastAI, RabbitMQ, Docker, Scikit-Learn, OpenCV, NumPy, Pandas, Jira (Issue Tracker), Jenkins.
Other activities I am involved in:
- Taking interviews
- Proposing new development directions involving Machine Learning and Deep Learning techniques.
Machine Learning Engineer, Porsche Engineering, 2018 - 2019
During my time at Porsche Engineering, I managed to successfully deliver two different deep learning related PoCs, one concerning the Computer Vision field
and the latter with respect to Time Series Analysis/Forecasting area. I also indulged in offering constant mentoring to a colleague, which by that time was a beginner in the field machine learning.
Technologies used : Python, TensorFlow, Keras, NumPy, Pandas, OpenCV, Scikit-Learn, TensorRT, JIRA (issue tracker).
Software Development Intern, IT intern, Banca Transilvania, 2017 - 2017
Worked as a Software Engineer at an end-to-end bank application.
Software Development Intern, Endava, 2016 - 2016
Software Development Intern
