I'm driven by building scalable software solutions and robust data pipelines. With a decade at giants like Google and Microsoft, I thrive on tackling complex technical challenges and bringing innovative ideas to life through code and data.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned at Microsoft as a Software Development Engineer.
Currently focuses on data engineering and API development at Google.
Can help others by providing guidance on API development best practices.
🚀 Career trajectory
Foundational Experience
Began career as a Software Development Engineer Intern at Microsoft, gaining initial industry exposure.
✦ Internship
✦ Software Development
Global Software Engineering
Transitioned to Google, starting in Warsaw and later moving to Seattle, contributing as a Software Engineer.
✦ Software Engineering
✦ International
Data-Centric Development
Focused on data engineering, SQL, Python, and statistical analysis within a large-scale tech environment.
✦ Data Engineering
✦ Python
✦ Statistics
💪🏻 Superpowers
Data Architecture Architect
Designing and implementing efficient data solutions
✦ Expertise in Python, SQL, and R for data manipulation.
✦ Skilled in data visualization with Jupyter and NumPy.
✦ Experience building robust data pipelines.
Full-Stack Problem Solver
Bridging code to real-world applications
✦ Proficient in Java, JavaScript, and C++ for diverse development.
✦ Adept at API development and integration.
✦ Experience with front-end frameworks like AngularJS.
Collaborative Innovator
Driving projects through teamwork and clear communication
✦ Proven ability to work effectively in cross-functional teams.
✦ Skilled in Git for version control and collaboration.
✦ Experience contributing to complex software projects.
I'm excited about
✦ Exploring new opportunities to contribute to cutting-edge data projects.
✦ Seeking to connect with professionals working on innovative AI and machine learning initiatives.
✦ Looking to expand my network with industry leaders in scalable software architecture.
I can help with
✦ Offer expertise in designing and optimizing complex data pipelines.
✦ Provide guidance on best practices for API development and integration.
✦ Share insights on building and maintaining efficient software systems.
I would love your help on
✦ Discovering emerging trends in cloud-native data solutions.
✦ Finding collaborators for open-source data visualization tools.
✦ Connecting with mentors in advanced machine learning applications.