My name is Piotr. At the moment working for Google Poland as a Software Engineer. I have graduated with a Bachelor of Science in Engineering from Faculty of Mathematics and Information Science at the Warsaw University of Technology.
Currently, I'm a Software Engineer at Google, contributing to the GKE Batch AI/ML Autoscaling team. Our mission is to enable cutting-edge AI/ML and HPC workloads by creating the best K8s experience. We're building a leading platform for training and fine-tuning the largest and most complex Generative AI models. This involves developing open-source APIs to establish Kubernetes as the framework of choice for these workloads, along with building GKE-specific features and differentiators.
As a mid-level Software Engineer at Syncron, I played a key role in the design, implementation, and maintenance of a cloud-native application based on AWS.My responsibilities included developing new features, ensuring code quality, and contributing to the ongoing development of the application. "Over the past two and a half years at Syncron, I've progressed from a junior developer focused on writing tests to become the most active developer for my team's core cloud-native application. I've significantly contributed to the application's codebase, authoring over 30% of its current implementation.
During my tenure as junior software engineer I've been part of a team responsible for desiging and implementing a new application (https://www.syncron.com/solutions/dealer-to-dealer-software/) from the ground up. Entirely deployed in the AWS Cloud Services featuring serverless AWS Lambda functions (both Java and Python), noSQL DynamoDB database, distributed message queuing service (AWS SQS), and Java 11 application.
During my internship, I was a regular member of the backend team working in SCRUM. My responsibilities were: day-to-day tasks related to maintenance of the component, refactoring the legacy code of the component (Java 8) and adding Spring framework functionalities to it.
Aim of this project was to implement RLE (run lenght encoding) algorithm for compressing and decompressing files in CUDA that would take advantage of parallel computing capabilites of the GPUs.
The aim of the project was to create a program that traverses all files in a given directory and its subdirectories, creates a data structure containing the requested information about the files and then waits for user input. User inputs commands that query data gathered in the data structure. To avoid repetitive scanning of the directory, the data structure is written to a file and read when the program is run again.
During this project I learned what are blockchains, how do they work and basics of multithreaded programming in Java.
While writing this app I learned how OAuth authorization works and how to integrate my own application with publicly available API.
Simple website I have written from the ground up using HTML5's flexbox and CSS3. It was my first project that resulted in commercialy used website. Link to the live version.
GPA: 4.48
GPA: 4.37
Apart from being a computer science student, I am a big fan of healthy lifestyle, whenever I have some free time I try to exercise, during winter at the gym, or when it's warmer I mostly outdoor activites like biking, hiking or running.
After doing my daily dose of studying, programming and exercises I like to watch a good sci-fi movie or show, Star Trek for example. As any usual geek I also like to play video games, #teamplaystation. My all time favorites are Final Fantasy VII, Heroes 3 and Diablo 2.