Senior Machine Learning Engineer

• Aug 2023 - Present

Senior AI Engineer

• Sep 2022 - Jun 2023

Senior Data Scientist

• Aug 2021 - Aug 2022

Digital Technology Leadership Program (DTLP)

• Jul 2019 - Jul 2021

Rotational leadership program, where members cycle through four different roles over a course of two years.4th rotation - Data Scientist:- Developed solutions for the analytical projects involving time series forecasting, classification, data suppression- Coordinated, designed, and executed global Data Literacy certification initiative to help users learn and understand technologies like AWS Sagemaker, Athena, and Collibra- Owned and developed Data Science Portal which was a place with all the important information for data scientists within the companyTechnologies: Python, R, AWS, ReactJS, Azure DevOpsOS: Mac3rd rotation - Technical Project Manager:- Managed server vulnerability remediation projects to keep the applications secure and well-maintained- Automated processes within the team to optimize the performance and capacity- Designed and created a roadmap for the Operational Dashboard to clearly present all essential operational, vulnerabilities, and incidents metrics in one placeTechnologies: PythonOS: Mac2nd rotation - Technical Product Manager:- Did thorough research and provided detailed analyses to drive user stories to improve GEHC ServiceMax Salesforce user experience and usability, as well as to identify and fix gaps in this platform- Created technical documentation for various GEHC ServiceMax integrationsTechnologies: SalesforceOS: Mac1st rotation - Software Engineer:- Leveraged Java Spring Boot for REST backend and TypeScript Angular with Material Design and ECharts for the frontend to create a highly impactful tool introduced as a part of a web application dedicated to Order Fulfilment process in Integrated Supply ChainTechnologies: Spring Boot in Java, Angular, Material Design, ECharts in TypeScript, Oracle DBOS: Mac Show less

Team Lead & React Native Developer - NeXTech Challenge

• Mar 2020 - Aug 2020

Responsibilities:- leading a Polish-American team “FiX it FeliX”,- developing a mobile application in React Native,- working on the integration between React Native app and AWS Lex chatbot,- communication with stakeholders, and field engineers.The 6-member "FiX it FeliX" team won the NeXTech Challenge firstly within GE Healthcare business, and then within all GE businesses. The delivered product was a virtual mobile assistant "FeliX". It was built as a mobile application written in React Native, which was modularly connected with a chatbot component created in AWS Lex cognitive service. Thanks to our it, a Field Engineer can interact with "FeliX" by voice. It gives the feeling of almost normal conversation and provides hands-free capabilities, like verbal debriefing.The solution was then investigated by dedicated Digital Field Services team to find out the possibilities to scale it and implement in production.NeXTech Challenge was a 12-week challenge, where the organizers (GE CIO) were looking for creating a minimum-viable product (MVP) using one or more of the emerging technologies (i.e. AI) to address a critical challenge facing GE and Digital Technology in the coming years. GE Healthcare Challenge description - Automated/Hands-Free Service Debriefing Identify non-keyboard based capabilities utilizing conversational systems, AI, Augmented Reality, and/or wearables while maintaining compliance to regulatory standards to ease and automate 10,000+ workers in the debriefing process of over 5MM service events throughout the globe. At scale, a solution that increases productivity in the debriefing process even a little could save thousands of employee-hours each year which translates directly into significant business benefit.Technologies: React Native, AWSOS: Mac Show less

Computer Vision Engineer - Industry 4.0

• Oct 2018 - Jun 2019

- Created a system, using computer vision algorithms, to achieve automatic measurement and 3D profile creation of semi-finished steel slabs and blooms based on digital camera images to reduce measurement effort and minimize human error - Developed an image processing system, using intelligent segmentation and classification methods, that automatically assesses sinter grain quality in order to optimize blast furnace performance - Leveraged neural network algorithms for the detection, recognition, and identification of wagon UIC numbers to automate the process of weighing coke wagons - Created documentation, analyses, and reports as a member of the specialized DiTeTo (Digitalization, Technologies, and Tools) team to inform executive decision making on company-wide production modernization processes Technologies: OpenCV, scikit-image, Scikit-learn, TensorFlow, Keras in Python OS: Ubuntu, Windows Show less

Software Developer - Computer Vision

• Nov 2017 - Oct 2018

- Created a computer vision engine, using AI algorithms, to develop iChallenge.mobi (R&D project), a mobile system of automatic image processing, which serves as an electronic tennis umpire for amateur tennis players - Developed the app frontend in Swift to provide iOS users with the best experience - Employed Scrum methodology using JIRA Technologies: OpenCV in C++, Swift (iOS), Firebase Analytics OS: Mac - Created a computer vision engine, using AI algorithms, to develop iChallenge.mobi (R&D project), a mobile system of automatic image processing, which serves as an electronic tennis umpire for amateur tennis players - Developed the app frontend in Swift to provide iOS users with the best experience - Employed Scrum methodology using JIRA Technologies: OpenCV in C++, Swift (iOS), Firebase Analytics OS: Mac

Software Development Intern

• Jul 2017 - Sep 2017

- Developed Tango Controls software Windows installer - Employed Scrum methodology using JIRA Technologies: C++, WIX Toolset, Python OS: Windows - Developed Tango Controls software Windows installer - Employed Scrum methodology using JIRA Technologies: C++, WIX Toolset, Python OS: Windows