Bartosz Telenczuk, Developer in Paris, France
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Bartosz Telenczuk

Verified Expert  in Engineering

Scientific Computing Developer

Location
Paris, France
Toptal Member Since
November 6, 2019

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

Icade
Scrum, OAuth 2, REST, PostgreSQL, Django
QuantStack
Data-driven Dashboards, Data Science, Git, JavaScript, Jupyter
Sqreen
Anomaly Detection, Docker, Amazon DynamoDB, MongoDB, Python, Streaming Data...

Experience

Availability

Part-time

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)

2019 - 2019
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.
Technologies: Scrum, OAuth 2, REST, PostgreSQL, Django

Software Engineer (Freelance)

2019 - 2019
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.
Technologies: Data-driven Dashboards, Data Science, Git, JavaScript, Jupyter

Data Scientist

2018 - 2018
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).
Technologies: Anomaly Detection, Docker, Amazon DynamoDB, MongoDB, Python, Streaming Data, Cloud Computing

Senior Reserach Scientist

2014 - 2018
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).
Technologies: Machine Learning, High-performance Computing (HPC), Jupyter, C, Python

Staff Scientist

2013 - 2014
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.
Technologies: Statistics, High-performance Computing (HPC), Unix, Python

Analysis of Human Brain Waves

https://scholar.google.com/citations?hl=en&user=nhjEeKMAAAAJ
I analyzed human brain waves and published several academic papers describing the methods and results.

Svgutils: Python Library

https://www.github.com/btel/svg_utils
I built Python library to create and compose vector graphics (SVG, scalable vector graphics format).
2006 - 2011

PhD Degree in Theoretical Biophysics

Humbold University of Berlin - Berlin, Germany

2000 - 2004

Master's Degree in Physics and Biomedical Engineering

Technical University of Wrocław - Wrocław, Poland

APRIL 2019 - PRESENT

Deep Learning Specialization

Coursera

MAY 2013 - PRESENT

Functional Programming Principles in Scala

Coursera | EPFL

OCTOBER 2012 - PRESENT

Machine Learning

Coursera

Libraries/APIs

Scikit-learn, Pandas, TensorFlow, Keras, Matplotlib

Tools

Jupyter, Vim Text Editor, Git

Languages

Python, C, JavaScript, SQL

Paradigms

Data Science, Unit Testing, High-performance Computing (HPC), Anomaly Detection, Scrum, REST

Platforms

Linux, Unix, Google Cloud Platform (GCP), Docker

Frameworks

OAuth 2, Django, Flask

Storage

MongoDB, PostgreSQL, Amazon DynamoDB

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

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