Skip to content
View Sheharyar-Khalid's full-sized avatar
4 followers · 5 following

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Highlights

  • Pro

Block or report Sheharyar-Khalid

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
Sheharyar-Khalid/README.md

💫 Hi!

I’m an MS CS at the University of Virginia, working in high-performance systems and ultra-low latency network technologies. At LAVA Lab, I work on designing and building high-performance systems for streaming data processing using algorithm design and distributed data processing.

Previously, I have worked on Security Information and Event Management (SIEM) tools and deploying scalable network protocols.

These experiences have sharpened my skills in programming with Python, C/C++, and JavaScript, and working with frameworks like Node.js, and TensorFlow.

Feel free to connect and discuss how to build secure, scalable, and high-performance applications!

🌐 Socials:

LinkedIn

💻 Tech Stack:

C++ JavaScript Python Bash Script NodeJS MongoDB React Figma Express.js Apache Flink PyTorch

Popular repositories Loading

  1. Sheharyar-Khalid.github.io Sheharyar-Khalid.github.io Public

    CSS

  2. ComputerNetowrksL4S ComputerNetowrksL4S Public

  3. ComputerNetworksL4S ComputerNetworksL4S Public

  4. CommunityDiscussion CommunityDiscussion Public

    A community platform for students to connect and organize events, submit course requests, discuss topics, and buy/sell items on an integrated marketplace

    JavaScript

  5. L4S_Video_Conferencing L4S_Video_Conferencing Public

    A video conferencing analysis framework using L4S to study how video conferencing can benefit from L4S as compared to classic TCP/IP flows.

    Jupyter Notebook

  6. Sheharyar-Khalid Sheharyar-Khalid Public