Taras Priadka

About

Hello! I'm currently a software engineer at Gimlet Labs (opens in a new tab). I graduated with a degree in Electrical Engineering and Computer Science(EECS) from UC Berkeley in 2023.

My main professional interests are in building big or interesting systems and infrastructure.

Most recently, I've worked at LatchBio (opens in a new tab) as one of the 6 engineers working on all aspects of the platform. I've worked on building tools which operated on terabytes of data for biotech companies. A selection of projects I've worked on include a distributed FUSE filesystem, a distributed data store, integrating shared storage solutions with Kubernetes, and more.

My main activities at UC Berkeley included doing research at Berkeley Netsys Lab (opens in a new tab) with Silvery Fung and Sylvia Ratnasamy(see published paper (opens in a new tab)), founding and running Borsch Club (opens in a new tab), and helping start a Berkeley-based humanitarian group Support Ukraine with Us (opens in a new tab).

Previously, I worked at Peritus AI (opens in a new tab) an intern for 2 years writing full-stack applications and an AI summarization tool while being a full-time student at De Anza College (opens in a new tab). I also did internships at New Relic (opens in a new tab) and Branch IO (opens in a new tab) when I was a student at UC Berkeley.

As for hobbies, I play guitar for 7+ years, read poetry, climb, lift and recently play billard.

Feel free to check out my blogs and projects.

Posts

Publications

• Silvery D. Fu, Hong Zhang, Ryan Teoh, Taras Priadka, and Sylvia Ratnasamy. 2024. Toward Data-Centric Service Composition. In Proceedings of the 23rd ACM Workshop on Hot Topics in Networks (HotNets '24). Association for Computing Machinery, New York, NY, USA, 360–367. https://doi.org/10.1145/3696348.3702013 (opens in a new tab)

Projects

Pipelet is a PoC of asynchronous data transfer service which I built for my research project.

Rendering Engine (opens in a new tab) is a C-based ray-tracing render engine I built with my friend for fun using a minimal number of libraries that takes in .obj files and generates a 3D scene. It was able to generate high-definition 3D scenes with 10+ millions of vertices.

Iguana Mark (opens in a new tab) an extension with a smart reading list which stores the visited pages while performing simple NLP to organize pages with tags.

RMP Scraper (opens in a new tab) is a Python scraping tool for Rate My Professors (opens in a new tab), a website for rating college professors. It generated a SQLite database with professor information used to query professor information when selecting classes.

Grafana Plugin for Pixie IO (opens in a new tab) integrated Pixie IO (opens in a new tab) with Grafana. I built it from scratch and now it has thousands of users through the Grafana marketplace.

Github Exporter (opens in a new tab) integrated Github and New Relic platform by pulling data such as stars, PRs, issues, etc. and displaying them on the New Relic dashboard.

Programming Skills

Languages: Python, Typescript, Golang, Java, C++, C, Rust, Bash, RISC-V, SQL, etc.

Technologies: Kubernetes, Docker, React, AWS, GCP, PostgreSQL, Github, Linux, Packer, etc.

• GitHub @TarasPriadka (opens in a new tab)
• Instagram @taras.priadka (opens in a new tab)