Bartosz Telenczuk
Verified Expert in Engineering
Scientific Computing Developer
Along with holding a PhD degree in computational biophysics, Bartosz has more than a decade of experience in programming and data modeling. Throughout his career, he has been active in the data science community and contributed to many open source libraries. He helps companies and startups from diverse disciplines to gain value from their data through machine learning and AI. Bartosz is an excellent communicator, teacher, and public speaker.
Portfolio
Experience
Availability
Preferred Environment
Docker, Python, Linux, Git, Vim Text Editor
The most amazing...
...impact of my work was detecting thousands of stolen user accounts for one of my client through automatic real-time analysis of their web traffic.
Work Experience
Lead Back-end Developer (Freelance)
Icade
- Designed and implemented APIs for smart building management (property and tenant management, comfort management, booking rooms and others).
- Coordinated the work of front-end developers, back-end developers, and DevOps.
- Helped to design and implement a product targeted for mass use in smart devices.
Software Engineer (Freelance)
QuantStack
- Implemented interactive widgets in a Jupyter environment.
- Collaborated with the open-source community and contributed OSS libraries (Jupyter, widgets) on GitHub.
- Configured continuous integration systems and created a testing platform.
- Authored technical blog posts on interactive computing and data science.
- Developed data visualization dashboards.
Data Scientist
Sqreen
- Worked on a cybersecurity platform (software-as-as-service model).
- Implemented attack protections using streaming technology and monitoring API for the dashboard.
- Analyzed web-application traffic.
- Developed and productionized data algorithms.
- Participated in the conception of the product.
- Collaborated in cross-functional teams (squads).
Senior Reserach Scientist
Human Brain Project
- Designed and implemented biophysical models of the brain.
- Used statistical analysis and machine learning to infer parameters for biophysical models from experimental data.
- Implemented and maintained libraries for analysis of time series and data visualization.
- Contributed to open-source projects (NumPy, Scikit-learn, and Matplotlib).
Staff Scientist
CNRS
- Developed methods to process and analyze electromagnetic signals (time series) recorded from the brain.
- Supervised the work of junior researchers.
- Trained and mentored colleagues in scientific computing.
Experience
Analysis of Human Brain Waves
https://scholar.google.com/citations?hl=en&user=nhjEeKMAAAAJSvgutils: Python Library
https://www.github.com/btel/svg_utilsSkills
Languages
Python, C, JavaScript, SQL
Libraries/APIs
Scikit-learn, Pandas, TensorFlow, Keras, Matplotlib
Tools
Jupyter, Vim Text Editor, Git
Paradigms
Data Science, Unit Testing, High-performance Computing, Anomaly Detection, Scrum, REST
Platforms
Linux, Unix, Google Cloud Platform (GCP), Docker
Other
Machine Learning, Scientific Computing, Artificial Intelligence (AI), Statistical Data Analysis, Amazon Kinesis, Computer Vision, Data Visualization, Time Series Analysis, Digital Signal Processing, Multivariate Statistical Modeling, Statistics, Cloud Computing, Streaming Data, Data-driven Dashboards, OAuth
Storage
MongoDB, PostgreSQL, Amazon DynamoDB
Frameworks
OAuth 2, Django, Flask
Education
PhD Degree in Theoretical Biophysics
Humbold University of Berlin - Berlin, Germany
Master's Degree in Physics and Biomedical Engineering
Technical University of Wrocław - Wrocław, Poland
Certifications
Deep Learning Specialization
Coursera
Functional Programming Principles in Scala
Coursera | EPFL
Machine Learning
Coursera
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