Paweł W.

Paweł W.

Warsaw, Poland

ML/DevOps

9 years of exp.


Profile Summary

I specialized in Deep Learning and Artificial Intelligence. Throughout my experience as a researcher, lecturer, and consultant I have built solid analytic skills and expertise in Data Science and ML Engineering.

Primary Skills

Python | 8 yrsAI Automation | 6 yrsAI Security | 9 yrsDeep Learning | 8 yrsMachine Learning | 8 yrsAmazon SageMaker | 5 yrsPyTorch | 9 yrsMLOps | 5 yrs

Culture Profile

In workplace, I am known for . . .
  • being constantly studying.
  • having creative solutions to challenges.
I thrive in environments . . .
  • where I can explore new ideas and take ownership of projects to drive meaningful results.
  • where diverse perspectives are valued.
I struggle in environments . . .
  • that lack clear communication and direction.
  • that are overly rigid and resistant to change.

Work Experience

Amazon Web Services (AWS)

Senior Machine Learning Engineer
  • Dec, 2018 - Present
  • Remote
  • As a Consultant at AWS Professional Services, I work on projects with large-scale customers such as Porsche, AstraZeneca, Volkswagen, Amazon.com, and NatWest Group.
  • Provide technical advice to customers about MLOps best practices.
  • Lead organization-wide ML strategies and the design and implementation of ML Platforms.
  • Understand the customer business requirements, and translate them into actionable items that can be delivered.
  • Support Engagement Managers in planning activities, aligned with customer’s expectations.
  • Leverage AWS services to train and deploy large-scale models.
  • Bring ML models to production in the cloud.

Skills

PythonAWSAI AutomationAI Decision-MakingAI OptimizationAI Risk GovernanceAI SecurityDeep LearningAmazon SageMaker PyTorchMLOps

Industries

IT Services

ABB

Associated Scientist
  • Dec, 2014 - Nov, 2018
  • Remote
  • Led the development and implementation of Machine Learning applications for Condition Monitoring of Rotating Machinery.
  • Led the design, planning, and execution of experimental tests with multinational teams for the evaluation of different technologies of oil debris sensing. This work concluded with successful results that allowed to choose the best type of sensor to be used.
  • Patented two techniques of Machine Learning applied to the diagnostics of Rotating Machinery.

Skills

PythonAWSMachine Learning

Industries

Manufacturing

Escuela de Ingeniería de Antioquia

Associate Professor
  • Dec, 2014 - Nov, 2018
  • Remote
  • Coordinator of the Robotics and Automation Area.
  • Associate professor and researcher at the mechatronics department.
  • Led research projects and consultancy services related to Machine Learning and Robotics and its applications to Industry 4.0.
  • Agricultural efficiency measurement of Banana Farms (using RFId and Internet of Things).
  • Energy consumption measurement and prediction in plastic injection machinery (using Internet of Things and Machine Learning algorithms).
  • Vehicle number plate detection and tracking system (using Artificial Vision and Machine Learning).
  • Development of a SCARA Robot for industrial applications.

Skills

JavaScriptReact.jsPythonSQL ServerCouchDBPHPHTML

Industries

Education

Education

Bachelor's degree
  • Software Engineering
  • Yuriy Fedkovych Chernivtsi National University, Ukraine
  • 2013
Master's degree
  • Computer Science
  • Yuriy Fedkovych Chernivtsi National University, Ukraine
  • 2017

Certifications

HashiCorp Certified: Terraform Associate 2023
  • Udemy
  • 2022
AWS Certified Solutions Architect – Associate
  • Amazon Web Services (AWS)
  • 2021
AWS Certified Cloud Practitioner
  • Amazon Web Services (AWS)
  • 2020

All Skills

  • Languages

    • JavaScript | 4 yrs
    • Python | 8 yrs
    • PHP | 4 yrs
  • Libraries

    • React.js | 8 yrs
    • PyTorch | 9 yrs
  • Cloud

    • AWS | 4 yrs
    • Amazon SageMaker | 5 yrs
  • Databases

    • SQL Server | 4 yrs
    • CouchDB | 4 yrs
  • AI

    • AI Automation | 6 yrs
    • AI Decision-Making | 8 yrs
    • AI Optimization | 7 yrs
    • AI Risk Governance | 7 yrs
    • AI Security | 9 yrs
    • Deep Learning | 8 yrs
    • Machine Learning | 8 yrs
  • Paradigms

    • MLOps | 5 yrs
  • Tools

    • HTML | 4 yrs