# Matin Schams

> Software Engineer at Luminance | MS CS ’27 @ Georgia Tech | Systems & ML Infrastructure

Location: New York, New York, United States
Profile: https://flows.cv/matin

Economics grad turned software engineer, grounded in the challenge of accelerating the performance of machine learning systems. After graduating, I transitioned into software engineering, building high-growth systems across startups with a recent focus on the performance layer. That has meant reducing latency, scaling models in production, and tuning infrastructure across the stack.

Outside of work, I enjoy building side projects and digging deeper into my interests like distributed systems, low-level optimization, compilers, high-performance computing, and GPU/CPU tuning. I have always been interested in building systems that squeeze out every drop of performance, so it is no suprise these areas naturally align with the work I enjoy most

I also enjoy spending time with my German Shepherd 🐕, following Formula 1 🏎️, and occasionally getting way too competitive with Tetris. Always happy to connect with others in the space, so feel free to reach out!

## Work Experience
### Software Engineer, SRE @ Luminance
Jan 2024 – Present | New York, New York, United States
Contributing to the performance and reliability of real-time LLM inference systems, with a focus on reducing latency, improving throughput, and resolving infrastructure issues across distributed environments. I work across production systems to identify bottlenecks, debug system-level slowdowns, and ensure stable, high-throughput model delivery under production load

### Software Engineer @ True Mates
Jan 2024 – Jan 2024 | Los Angeles, California, United States
Led backend architecture at an early-stage startup, supporting over 10,000 beta users. Delivered production features and scaled the stack using async task queues and database query tuning. Helped cut response times by ~100ms and increase throughput by ~30% during peak traffic. Wore many hats, but always chased performance and stability

### Software Engineer @ OSLabs
Jan 2023 – Jan 2024
Built a Kubernetes performance monitoring tool using PromQL and Node.js, surfacing real-time compute bottlenecks across clusters. Improved uptime by 3% and shaved down incident resolution time by 23%. Focused on observability and backend resilience in containerized environments

### Software Engineer Intern @ Ameriprise Financial Services, LLC
Jan 2021 – Jan 2021 | Santa Clara, California, United States
Built a backend data ingestion tool in Python to track and analyze trends in cryptocurrency markets. Handled asynchronous high-frequency scraping of 1,000+ data points per cycle. Gained an early appreciation for real-time systems and performance


## Education
### Master of Science - MS in Computer Science
Georgia Institute of Technology
Jan 2025 – Jan 2027

### Bachelor of Arts - BA in Economics
University of California, Santa Cruz
Jan 2018 – Jan 2022


## Contact & Social
- LinkedIn: https://linkedin.com/in/matin-schams
- GitHub: https://github.com/matinschams

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Source: https://flows.cv/matin
JSON Resume: https://flows.cv/matin/resume.json
Last updated: 2026-03-21