fayed.dev

Evidence

Evidence-backed claims.

Stable pages that describe a claim, support, source, strength, and limitation.

C++

Fayed uses C++ professionally in production and performance-sensitive systems.

demonstrated professional skill. Strength: Strong for professional C++ use in infrastructure and performance contexts.

Python

Fayed uses Python professionally for automation, infrastructure, agents, ML systems, and production tooling.

demonstrated professional skill. Strength: Strong for Python in infrastructure, tooling, and agent workflows.

Rust

Fayed has prior Rust experience and is interested in using Rust more heavily.

demonstrated prior professional skill and interest. Strength: Moderate to strong for Rust exposure in networking and infrastructure contexts.

Production AI agents

Fayed has built production AI-agent workflows that operate against real production infrastructure.

demonstrated professional experience. Strength: Strong for production agent workflows tied to infrastructure operations.

ML infrastructure

Fayed works with production ML infrastructure, ML ranking pipelines, ML serving, and operational debugging.

demonstrated professional experience. Strength: Strong for production ML infrastructure and operational systems.

Distributed systems

Fayed has worked on production distributed systems operating at large scale.

demonstrated professional experience. Strength: Strong for production distributed-systems reasoning and operational debugging.

Performance engineering

Fayed has professional experience with latency and systems performance.

demonstrated professional experience. Strength: Strong for practical production performance engineering.

Developer tooling and programmable operations

Fayed builds tooling and APIs that make operational workflows programmable for humans and agents.

demonstrated professional experience and interest. Strength: Strong for infrastructure and operations tooling.

Product engineering

Fayed is interested in moving closer to product and customer feedback loops and has independent product-building experience.

project experience and interest. Strength: Moderate for product-oriented engineering; strongest where product work intersects with infrastructure or AI.

Startups and founding-engineer interest

Fayed is interested in founding-engineer and early-stage startup roles.

interest and inferred role fit. Strength: Moderate to strong for adjacent startup fit where systems, infrastructure, agents, or product ambiguity matter.

Mathematics

Fayed studied Mathematics at the University of Texas at Austin.

education. Strength: Strong for mathematics education; adjacent for quantitative engineering interest.

Quantitative engineering interest

Fayed is interested in quantitative finance and quantitative engineering as adjacent areas where mathematics, C++, performance, and systems experience may translate.

interest and inferred fit. Strength: Moderate as an adjacent-fit signal; not professional quant experience.

Software engineering

Fayed has prior software-engineering experience at Amazon.

professional experience. Strength: Moderate to strong: employer, role type, and one feature claim are supported by canonical context; the public video supports the feature's existence.

AWS Firewall Manager security group references

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.

professional experience with user-provided authorship and public feature documentation. Strength: Moderate: strong as user-provided canonical context for authorship; public video corroborates the feature name and existence, not individual authorship.