Calin Timbus, Ph.D.

Machine learning
Vetted by

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.



Vetting results

Machine learning





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.


   - 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



Calin Timbus, Ph.D.

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