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_config.yml
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# Site
repository: sproogen/resume-theme
favicon: images/favicon.ico
# Content configuration version
version: 2
# Personal info
name: Konrad Wiecko
title: Machine Learning Engineer / Data Scientist
email: [email protected]
#website: https://kwiecko.github.io/resume/
location: Warsaw, Poland
# Dark Mode (true/false/never)
darkmode: never
# Social links
#twitter_username: facespics
github_username: KWiecko
gitlab_username: KWiecko
# stackoverflow_username: "00000001"
# dribbble_username: jekyll
# facebook_username: jekyll
# flickr_username: jekyll
#instagram_username: jameswgrant
linkedin_username: konrad-więcko-88a81010b
# xing_username: jekyll
# pinterest_username: jekyll
#youtube_username: globalmtb
# googleplus_username: +jekyll
# orcid_username: 0000-0000-0000-0000
# Additional icon links
#additional_links:
#- title: upwork.com
# icon: fas fa-globe
# url: https://www.upwork.com/freelancers/~011ad5169826c1c47f?viewMode=11
# - title: another link
# icon: font awesome brand icon name (eg. fab fa-twitter) (https://fontawesome.com/icons?d=gallery&m=free)
# url: Link url (eg. https://google.com)
# Google Analytics and Tag Manager
# Using more than one of these may cause issues with reporting
# gtm: "GTM-0000000"
# gtag: "UA-00000000-0"
# google_analytics: "UA-00000000-0"
# About Section
# about_title: About Me
about_profile_image: images/profile_li.jpeg
about_content: | # this will include new lines to allow paragraphs
7+ years of professional ML / DS experience working for brands like Samsung,
mBank and largest polish petroleum company. Most recently worked as a ML engineer
in the [Improve AI](https://improve.ai/) project - a fast and lightweight RL-based recommendation engine.
Passionate about combining Computer Vision with UAV / drone tech.
# I am most skilled in: <mark>AWS</mark> and <mark>Eating Pizza</mark>
content:
# - title: Projects # Title for the section
# layout: list # Type of content section (list/text)
# content:
# - layout: top-middle
# title: Super awesome project
# link: github.com/sproogen
# # link_text: Project Website
# additional_links:
# - title: sproogen/modern-resume-theme
# icon: fab fa-github
# url: github.com/sproogen/modern-resume-theme
# # - title: Github page for project (eg. sproogen/modern-resume-theme)
# # icon: fab fa-github
# # url: Link to project (eg. sproogen.github.io/modern-resume-theme)
# quote: >
# This is probably one of the greatest apps ever created, if you don't agree you're probably wrong.
# description: | # this will include new lines to allow paragraphs
# I started this project as a way if learning <mark>React</mark> and it has since grown into a fully fledged app. I have learned many skills through this and been I'm very proud of having this in my portfolio. If you don't have a project as awesome as this I would advise you make one.
- title: Experience and Projects
layout: list # Type of content section (list/text)
content:
- layout: left
title: Improve AI
link: https://improve.ai
link_text: https://improve.ai
sub_title: Machine Learning Engineer / Data Scientist
caption: September 2020 - July 2023
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
<img src="images/topics.png" width="25" height="25" /> <mark>reinforcement learning</mark> <mark>multi-armed contextual bandits</mark> <mark>ML</mark> <mark>docker</mark> <mark>weighted importance sampling</mark>
Worked directly with a CTO / owner on a lightweight, scalable, AWS based recommendation platform with multiple SDKs:
- development, testing, optimization, deployment and maintenance of all [AWS platform](https://github.com/improve-ai/tracker-trainer)
components: dockerfiles, deployment to AWS, orchestration, data ingestion pipelines and dask distributed SageMaker training pipelines
- RL / ML models training, evaluation, debugging, testing and cross-platform validation
- development and testing of a [python SDK](https://github.com/improve-ai/python-ranker)
([improveai](https://pypi.org/project/improveai/) pypi package) which allows for Python and [AWS platform](https://github.com/improve-ai/tracker-trainer) interaction
<img src="images/python.jpg" width="25" height="25" /> <mark>Python3.8+</mark>: <mark>xgboost</mark> <mark>numpy</mark> <mark>pandas</mark> <mark>dask</mark> <mark>dask-ml</mark> <mark>cython</mark> <mark>coba</mark> <mark>fastparquet</mark> <mark>matplotlib</mark> <mark>boto3</mark> <mark>pytest</mark> <mark>tox</mark>
<img src="images/aws.png" width="25" height="25" /> <mark>AWS</mark>: <mark>SageMaker</mark> <mark>Lambda</mark> <mark>S3</mark> <mark>ECR</mark> <mark>StepFunctions</mark> <mark>Firehose</mark> <mark>serverless</mark>
- title: # Experience and Projects # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: Additional projects
# link: mbank
# link_text: https://www.mbank.pl/
sub_title: Deep Learning / Computer Vision
caption: March 2021 - until now
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
<img src="images/topics.png" width="25" height="25" /> <mark>deep learning</mark> <mark>computer vision</mark> <mark>u-net</mark> <mark>fpn</mark> <mark>time series</mark> <mark>web scraping</mark> <mark>docker</mark> <mark>docker-compose</mark> <mark>RTMP</mark> <mark>RPi</mark> <mark>navio2</mark>
- [image segmentation for agriculture](https://gitlab.com/KWiecko/curious-look-twice) ([Agriculture-Vision 2021 challenge](https://www.agriculture-vision.com/)), integration of the trained model with RTMP DJI drone video stream
- [steam games sales prediction](https://gitlab.com/aig-analytics) – from automated data scraping and storing in PostgreSQL DB to LSTM-based models
- finalist of the [CUValleyHack 2021](https://2021.cuvalley.com/) - muchDS team
<img src="images/python.jpg" width="25" height="25" /> <mark>Python3.7.9</mark>: <mark>tensorflow</mark> <mark>XGBoost</mark> <mark>numpy</mark> <mark>pandas</mark> <mark>matplotlib</mark> <mark>dagster</mark> <mark>Beautiful Soup</mark> <mark>pytest</mark> <mark>tox</mark>
<img src="images/db_logo.jpg" width="25" height="25" /> <mark>DB stack</mark>: <mark>PostgreSQL</mark>
- title: # Experience and Projects # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: mBank
link: https://www.mbank.pl/
link_text: https://www.mbank.pl/
sub_title: Machine Learning Engineer / Data Scientist
caption: July 2019 - August 2021
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
<img src="images/topics.png" width="25" height="25" /> <mark>ML</mark> <mark>churn prediction</mark> <mark>time series</mark> <mark>process mining</mark> <mark>process optimization</mark>
- corporate client churn prediction - fully responsible for development of a robust time series classifier (~30% precision / ~50% recall); Extensive sklearn's API usage to combine an entire process into a single pipelines; Actively participated in production deployment and monitoring
- process optimization - developed and deployed multiple data transformation and ingestion pipelines (bank's DW → process mining tool LanaLabs via REST API); Automation of bank's job scheduler config creation
- development, deployment and maintenance of an ad-hoc, internal CoVid-19 R-Shiny report for bank’s management
<img src="images/python.jpg" width="25" height="25" /> <mark>Python3.7.9</mark>: <mark>XGBoost</mark> <mark>scikit-learn</mark> <mark>numpy</mark> <mark>pandas</mark> <mark>ts-fresh</mark> <mark>pyod</mark> <mark>ta</mark> <mark>matplotlib</mark> <mark>pytest</mark> <mark>tox</mark>
<img src="images/db_logo.jpg" width="25" height="25" /> <mark>DB stack</mark>: <mark>Oracle</mark> <mark>PL/SQL</mark> <mark>Hive</mark>
- title: # Experience and Projects # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: BD Polska
link: https://bdpolska.com/
link_text: https://bdpolska.com/
sub_title: Data Scientist / Data Engineer
caption: June 2018 - June 2019
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
<img src="images/topics.png" width="25" height="25" /> <mark>fuel quality prediction</mark> <mark>Cox regression</mark> <mark>data warehouse development</mark>
- developing data warehouse structure and ETL jobs (from *.csv or *.pdf files level) for largest polish petroleum firm
- training of fuel quality prediction model (R) and deployment to MS SQLServer ML/ R Services for live predictions
- Cox model development for fuel filters survivability prediction
<img src="images/r_logo.png" width="25" height="25" /> <mark>R</mark>: <mark>tidyr</mark> <mark>glm</mark>
<img src="images/python.jpg" width="25" height="25" /> <mark>Python3.7.9</mark>: <mark>lifelines</mark> <mark>pandas</mark> <mark>matplotlib</mark>
<img src="images/db_logo.jpg" width="25" height="25" /> <mark>DB stack</mark>: <mark>T-SQL</mark> <mark>MS ML/R-Services</mark> <mark>MS SSIS</mark> <mark>MS SQL Server 2016</mark>
- title: # Experience and Projects # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: Samsung R&D Institute Poland
link: https://samsungrd.pl/
link_text: https://samsungrd.pl/
sub_title: Junior ML Engineer / AI Engineer
caption: June 2017 - June 2018
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
<img src="images/topics.png" width="25" height="25" /> <mark>predictive autoscaling</mark> <mark>predictive cloud maintenance</mark> <mark>churn prediction</mark> <mark>ML</mark>
- predictive auto-scaling PoC for OpenStack → automatic cluster spawning, mocking load and [ML-based](https://ieeexplore.ieee.org/document/7892598) cluster scaling
- disk usage prediction for cloud clients with Holt-Winters, ARIMA and Prophet
- developing mobile assistant (Bixby) log-based analytical use cases (churn prediction, user activity prediction) on local and cloud infrastructure
<img src="images/r_logo.png" width="25" height="25" /> <mark>R</mark>: <mark>ets</mark> <mark>tidyr</mark> <mark>ggplot</mark>
<img src="images/python.jpg" width="25" height="25" /> <mark>Python2.7+/3.6+</mark>: <mark>xgboost</mark> <mark>statsmodels</mark> <mark>scikit-learn</mark> <mark>pandas</mark> <mark>matplotlib</mark>
<img src="images/db_logo.jpg" width="25" height="25" /> <mark>Data stack</mark>: <mark>Hive</mark> <mark>Influx</mark> <mark>Hortonworks Data Platform</mark> <mark>OpenStack</mark> <mark>Grafana</mark>
- title: # Experience and Projects # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: MI^2 Data Lab
link: https://www.mi2.ai/
link_text: https://www.mi2.ai/
sub_title: ML intern
caption: February 2016 - June 2017
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
<img src="images/topics.png" width="25" height="25" /> <mark>job offer classification</mark> <mark>ML</mark> <mark>web scraping</mark>
- working on a job classification project ["Is this an offer for a Data scientist"](http://smarterpoland.pl/index.php/2017/01/is-it-a-job-offer-for-a-data-scientist/)
- helping with whyR 2017 conference organization
<img src="images/r_logo.png" width="25" height="25" /> <mark>R</mark>: <mark>XGBoost</mark> <mark>randomForest</mark> <mark>glm</mark> <mark>tidyr</mark> <mark>ggplot</mark> <mark>web scraping</mark>
<img src="images/db_logo.jpg" width="25" height="25" /> <mark>DB</mark>: <mark>PostgreSQL</mark>
- title: # Experience and Projects # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: Air force Institute of Technology
link: https://itwl.pl/
link_text: https://itwl.pl/
sub_title: R&D Engineer
caption: November 2015 - December 2019
# quote: >
# Solving 21st century problems by diging holes and making game changing products like the *not a flamethrower*
description: | # this will include new lines to allow paragraphs
UAV’s conceptual, structural and aerodynamic analysis and design
- title: Courses # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: coursera / deeplearning.ai
caption: May 2016 - until now
sub_title: online ML / AI specializations
# quote: >
# Established in 1636, Harvard is the oldest higher education institution in the United States, and is widely regarded in terms of its influence, reputation, and academic pedigree as a leading university in not just the US but also the world.
description: | # this will include new lines to allow paragraphs
- [Deep Learning Specialization](https://coursera.org/share/837664b5b31ae26e38f528ac11c02cee) by deeplearning.ai
- [TensorFlow Developer Specialization](https://coursera.org/share/0a497097f5908d97524f57f68fb821e5) by deeplearning.ai
- [Tensorflow: Advanced Techniques Specialization](https://coursera.org/share/1fa547f7708543687fddbab3d02106b3) by deeplearning.ai
- [Mathematics for Machine Learning and Data Science](https://coursera.org/share/48e66146625c42836b98d2778738b6cd) by deeplearning.ai
- [Reinforcement Learning Specialization](https://coursera.org/share/2f211b5fcdc61e4395eb2210dbb8e07d) by University of Alberta
- [In-depth introduction to machine learning](https://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
- title: Education # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: Polish-Japanese Academy of Information Technology
caption: March 2016 - February 2017
sub_title: postgraduate degree
# quote: >
# Established in 1636, Harvard is the oldest higher education institution in the United States, and is widely regarded in terms of its influence, reputation, and academic pedigree as a leading university in not just the US but also the world.
description: | # this will include new lines to allow paragraphs
Systems, applications and databases. Topics covered: OOP in JAVA, relational databases(basics of design and SQL programming).
- title: # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
title: Warsaw University of Technology
caption: October 2009 - July 2015
sub_title: B.Sc and M.Sc. degrees
# quote: >
# Established in 1636, Harvard is the oldest higher education institution in the United States, and is widely regarded in terms of its influence, reputation, and academic pedigree as a leading university in not just the US but also the world.
description: | # this will include new lines to allow paragraphs
Finished studies at the Faculty of Power and Aeronautical Engineering, two specializations completed (“Aerospace Engineering” and “Aerospace Propulsion Systems”).
B.Sc final college grade: very good, M.Sc.final college grade: excellent (summacumlaude).
- title: Languages # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: left
# title: Warsaw University of Technology
# caption: October 2009 - July 2015
# sub_title: B.Sc and M.Sc. degrees
# quote: >
# Established in 1636, Harvard is the oldest higher education institution in the United States, and is widely regarded in terms of its influence, reputation, and academic pedigree as a leading university in not just the US but also the world.
description: | # this will include new lines to allow paragraphs
- Polish - native
- English - fluent in writing and speaking (FCE - B, IELTS 8/9 earned in 2018)
- German - communicative
# - title: A Little More About Me
# layout: text
# content: | # this will include new lines to allow paragraphs
# Alongside my interests in networks and software engineering some of my other interests and hobbies are:
# - Rock climbing
# - Gaming
# - Knitting
# - [Becoming a ninja](https://www.youtube.com/watch?v=vtg4o__aRMg)
#
# Look at this cool image
# 
# Footer
footer_show_references: false
# references_title: References on request (Override references text)
# Build settings
remote_theme: sproogen/resume-theme
sass:
sass_dir: _sass
style: compressed
plugins:
- jekyll-seo-tag