Hi, my name is

Sina Labbaf.

Software Engineer at Google | PhD in Computer Science

Currently working on artificial intelligence infrastructure. Experience in healthcare machine learning and distributed IoT systems.

About Me

I am a Software Engineer at Google focusing on cloud AI and ML platform infrastructure. I work on GPU platform reliability and performance.

Previously, I worked at Commure as a Senior Software Engineer on the Strongline Pro product, where I developed distributed systems for real-time IoT safety systems and real-time geo-location algorithms.

I received my PhD in Computer Science from University of California, Irvine by building a service platform for health research. The services were set to provide a solution for health researchers to collect and analyze longitudinal data while utilizing artificial intelligence for analysis and intervention. My doctoral project was divided between designing a service orchestration for long-term health studies and building a scalable infrastructure to host this service on. You can read more about it here.

Here are a few technologies I've been working with recently:

Distributed Training & Serving
GCP / GPU & TPU Clusters
JAX / PyTorch / CUDA
Python / TypeScript / C++ / Go
Kubernetes / Docker
Healthcare IoT Systems

Experience

Google
Commure
UC Irvine
Unity Technologies
Pegah Tech

Software Engineer - Google

Oct 24 - Present

Leading Google Infra’s GPU platform release qualification and performance regression.

Senior Software Engineer - Commure

Oct 23 - Oct 24

Led an Internet-of-Things hospital safety product for real-time asset tracking and nurse duress safety.
Improved indoor location accuracy by more than 150% by incorporating Machine-learning, signal processing, and control systems.
Designed a robust and high-throughput safety infrastructure deployed in the largest hospital networks across the United States

Research Software Engineer - UC Irvine

Sep 17 - Sep 23

Led, designed, and developed a cybernetics health service platform for remote healthcare monitoring and intervention
Serviced over 10 projects with more than 1500 participants in different fields: mental health, maternal well-being, elderly care, etc.
Achieved high performance in processing and storing high-frequency longitudinal healthcare data in micro-service server design
Improved participant engagement by developing a multi-platform dynamic mobile app for labeling and intervention
Designed web dashboards that enabled health providers to create data pipelines and machine learning engines without programming
Supervised diverse teams of more than 30 undergraduate researchers, exchange students, and visitor scholars

Full-Stack Software Engineer Intern - Unity Technologies

Jun 22 - Aug 22

Interned in Ads Mediation Features team at Unity Operate Organization
Designed the full-stack integration of customer history change log feature for Unity Mediation

Full-Stack Developer - Pegah Tech

Sep 16 - Sep 17

Contributed to the launch of products in gaming BaaS and SaaS, mobile advertisements, Real-estate solutions, and online chat support
Demonstrated expertise in designing, developing, and testing web-application dashboards for a diverse range of internet services
Boosted user engagement by creating a light-weight interactive mobile ads SDK