Skip to content
View Uriel-Segev's full-sized avatar

Block or report Uriel-Segev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Uriel-Segev/README.md

Uriel Segev

M.S. Computer Science student at UC Davis with a B.S. in Computer Science and Engineering.

I'm interested in software engineering and computer systems, with experience across distributed systems, virtualization, mobile development, and cloud infrastructure.

Currently

  • Working with a research team on distributed systems involving RDMA, CXL, memory disaggregation, and the DINOMO key-value store.
  • Previously researched virtualization for agentic AI workloads using Firecracker microVMs and Terminal-Bench.

Selected Work

  • Agentic AI Systems Research — Built and evaluated virtualized infrastructure using Firecracker microVMs for executing and benchmarking agent-generated solutions.
  • DINOMO / CXL Research — Contributing to team research exploring RDMA, CXL, virtualization, and memory disaggregation for distributed key-value stores.
  • FitFlip: Rent & Trade — Co-created and released an iOS clothing marketplace on the Apple App Store.
  • HeatSafe — Contributed iOS sensor processing, machine learning integration, and background execution to a client-facing heat-stress monitoring platform.

Technologies

Languages: Python · C++ · C · Java · TypeScript · Swift · SQL · Go

Systems & Tools: Linux · Claude Code ·Git · Docker · Firecracker · CloudLab · RDMA · CXL

Frameworks & Platforms: React Native · Expo · Spring Boot · Firebase · Cloud Firestore

Some client and product work is maintained in private repositories.

Pinned Loading

  1. Benchmarking-Agentic-AI Benchmarking-Agentic-AI Public

    Shell

  2. CC3200-Embedded-RC-Car CC3200-Embedded-RC-Car Public

    Embedded RC car built with the TI CC3200 featuring IR control, accelerometer sensing, OLED output, and AWS IoT integration.

    C

  3. dinomo-cxl dinomo-cxl Public

    Python