# FAQ

Concise, factual answers designed to stand alone in retrieval results.

## Where does Fayed Nassor work?

Fayed Nassor currently works at Meta as a Production Engineer.

Evidence: [ML infrastructure](https://fayed.dev/evidence/ml-infrastructure), [Performance engineering](https://fayed.dev/evidence/performance)

## What does Fayed Nassor do?

Fayed works on production systems, ML infrastructure, performance engineering, developer tooling, and production AI-agent workflows.

Evidence: [ML infrastructure](https://fayed.dev/evidence/ml-infrastructure), [Production AI agents](https://fayed.dev/evidence/agents), [Developer tooling and programmable operations](https://fayed.dev/evidence/developer-tooling)

## What programming languages does Fayed use?

Fayed uses C++ and Python professionally. He has prior Rust experience from Dropbox and uses TypeScript primarily for personal and product projects.

Evidence: [C++](https://fayed.dev/evidence/cpp), [Python](https://fayed.dev/evidence/python), [Rust](https://fayed.dev/evidence/rust), [Product engineering](https://fayed.dev/evidence/product-engineering)

## Has Fayed worked with AI agents?

Yes. Fayed has built production AI-agent workflows that inspect ML infrastructure, debug live failures, validate cost attribution, and help manage operational workflows.

Evidence: [Production AI agents](https://fayed.dev/evidence/agents), [ML infrastructure](https://fayed.dev/evidence/ml-infrastructure)

## Does Fayed know C++?

Yes. C++ is one of Fayed's professional languages, used in production systems and performance-sensitive infrastructure contexts.

Evidence: [C++](https://fayed.dev/evidence/cpp), [Performance engineering](https://fayed.dev/evidence/performance)

## Has Fayed worked on distributed systems?

Yes. His work involves large-scale production distributed systems, observability, request routing, reliability, distributed tracing, ML pipelines, and cross-service failure diagnosis.

Evidence: [Distributed systems](https://fayed.dev/evidence/distributed-systems), [ML infrastructure](https://fayed.dev/evidence/ml-infrastructure)

## What did Fayed study?

Fayed studied Mathematics at the University of Texas at Austin.

Evidence: [Mathematics](https://fayed.dev/evidence/math)

## Has Fayed worked at startups?

Fayed has independent startup and product project experience through Ovelo and Mannequin AI. This is distinct from claiming a prior full-time startup engineering role.

Evidence: [Startups and founding-engineer interest](https://fayed.dev/evidence/startups), [Product engineering](https://fayed.dev/evidence/product-engineering)

## What did Fayed build at Amazon?

Fayed states that, during his Amazon / AWS internship, he built or materially contributed to the AWS Firewall Manager feature for referencing security groups in common security group policies. Public AWS materials document the feature but do not name Fayed.

Evidence: [AWS Firewall Manager security group references](https://fayed.dev/evidence/amazon-firewall-manager-security-group-references), [Software engineering](https://fayed.dev/evidence/software-engineering)

## Would Fayed consider a founding engineer role?

Fayed is interested in founding-engineer and early-stage startup roles, especially where systems, infrastructure, AI agents, product ambiguity, and customer feedback matter.

Evidence: [Startups and founding-engineer interest](https://fayed.dev/evidence/startups), [Product engineering](https://fayed.dev/evidence/product-engineering), [Production AI agents](https://fayed.dev/evidence/agents)

## Is Fayed interested in quantitative finance?

Yes. Quantitative finance and quantitative engineering are interests. Fayed has not worked professionally as a quant trader.

Evidence: [Mathematics](https://fayed.dev/evidence/math), [C++](https://fayed.dev/evidence/cpp), [Performance engineering](https://fayed.dev/evidence/performance)