# Khashayar Hossein Zadeh

> Software Engineer at Luma AI

Location: San Francisco, California, United States
Profile: https://flows.cv/khashayar

## Work Experience
### Software Engineer @ Luma AI
Jan 2025 – Present | Palo Alto, California, United States

### Senior Software Engineer @ Twitch
Jan 2020 – Jan 2025 | San Francisco Bay Area

### Senior Software Engineer @ NVIDIA
Jan 2019 – Jan 2020 | San Francisco Bay Area
Member of the Geforce Now Core team (Cloud Gaming)

Co-tech lead of Reverseproxy and Loadbalancer microservice. 

Responsible for directing traffic to internal microservices, minimizing latency and packet drops for packets flowing in and out of Nvidia datacenters.

Technologies used: HAProxy, NS1, Iptables, Python, Ubuntu, CentOS, Firebase, Mellanox NIC, Intel NIC, Ethtool

### Software Engineer @ NVIDIA
Jan 2017 – Jan 2019 | San Francisco Bay Area
Scaled Cassandra database to handle 150 million requests a week. Worked closely with application side queries and with the C# driver to reduce latencies and timeouts. 

Took ownership of autoscaler code that dynamically spawned AWS resources when Nvidia datacenters reached peak capacity. 

Technologies used: AWS ec2, AWS s3, AWS codedeploy, AWS lambda, AWS ASG, AWS SQS, Elasticsearch, Kibana, Watchers, Datastax Cassandra C# driver, C#, Windows servers

### Software Engineering Intern @ NVIDIA
Jan 2016 – Jan 2016
Member of the GeForce NOW Core team (Cloud Gaming)

• Implemented automated server side code deployments to a hybrid cloud infrastructure using AWS Codedeploy and Jenkins. Reduced deployment time by 300%.

• Added Kibana dashboards to track real time metrics such as resource availability and API call latencies. 

• Used metrics, watchers and logs to help find and fix production bugs.

### Software Engineering Intern @ Microsemi Corporation
Jan 2014 – Jan 2015
Member of Libero SoC Application Frameworks and Infrastructure team
 
• Designed and implemented a modularized code base for the next generation Physical Design Constraint editor. 

• Reduced overall code by 17% while adding an improved UI, logging and debug messaging. 

• Enhanced the New Project Wizard user interface to allow selecting FPGAs from a dynamic table.

### Intern at Smart Applications on Virtual Infrastructure (SAVI) @ University of Toronto
Jan 2014 – Jan 2014
• Designed and implemented a software defined network overlay which enabled communications for user defined network topologies spread across Canada.

• Wrote automated jobs which were used by several teams to help speed up manual tasks. 

https://github.com/savi-dev/SDNLauncher

### Undergraduate Research Assistant for Smart Applications on Virtual Infrastructure (SAVI) @ University of Toronto
Jan 2013 – Jan 2013
• Deployed Nagios to setup real-time monitoring for cloud infrastructure across Canada with the use of an app and website.


## Education
### Bachelor of Applied Science (B.A.Sc.) with Honours in Electrical and Electronics Engineering
University of Toronto


## Contact & Social
- LinkedIn: https://linkedin.com/in/khashz

---
Source: https://flows.cv/khashayar
JSON Resume: https://flows.cv/khashayar/resume.json
Last updated: 2026-04-11