MAJD AYOUB.SYS
// IDENTITY: DISCOVER // QUESTION: WHO AM I?
Building Production-Style Software  |  Software Engineering • Artificial Intelligence • Cybersecurity

MAJD AYOUB

[Member, IEEE Computer Society]
Open Source Contributor  •  DOI Publication  •  U.S. Permanent Resident

"Computer Engineering graduate building secure, intelligent, and scalable software at the intersection of Software Engineering, Artificial Intelligence, and Cybersecurity."

📍 Based in the San Francisco Bay Area

🛡️ U.S. Permanent Resident  •  No Sponsorship Required

🌐 Languages

Arabic: Native  •  English: Professional Working Proficiency

Building secure and intelligent systems
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Recruiter Snapshot

// HIRING_DATA.TXT
Work Authorization U.S. Permanent Resident (No Sponsorship)
Open Source Merged Python contribution to OpenSSF cve-bin-tool
Publication DOI-backed Technical Report (Zenodo)
Education UMBC DBMS MicroMasters & B.S Electrical Engineering / Computer Engineering
Want the full technical profile? Explore Skills & Engineering Stack →
Majd Ayoub Professional Portrait
PROFILE VERIFIED
SF Bay Area — Available
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AI Systems

Designing intelligent workflows, retrieval-augmented systems, and local AI pipelines.

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Cybersecurity

Building security-aware software and applying AI to support threat analysis and explainable security workflows.

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Contact

majdayoub102@gmail.com Based in San Bruno, CA
Open to on-site and hybrid opportunities across the San Francisco Bay Area, and remote roles within California.

Featured Projects

Selected systems and applied work
View All Projects →
// FLAGSHIP SYSTEM

TruthLens

Production-Style AI Platform

Bilingual credibility assessment engine using multi-model consensus, asynchronous worker pools, and explainable NLP metrics.

gpp_good Engineering Reliability
Network Resilience: Circuit Breaker + Exponential Backoff
HTTP Infrastructure: Singleton HTTP Client + Connection Reuse
LLM Reliability: Multi-stage JSON Recovery Pipeline
External Services: Automatic Retry + Fail-Fast Strategy
Resource Management: Socket Reuse + Graceful Shutdown
View Implementation Details →
Graduation Project - BAU Read Case Study →
// SECURED UTILITY

PhishGuard Pro

AI-Powered Anti-Phishing Engine

BERT-based classification scanner providing real-time threat probabilities and explainable security guidance.

AI + Cybersecurity Read Case Study →

Curious how these systems were engineered?

Read Engineering Case Studies →
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Engineering Philosophy

// PHILOSOPHY.TXT

I believe software engineering, artificial intelligence and cybersecurity deliver the greatest impact when engineered together rather than treated as separate disciplines.

This philosophy is implemented in TruthLens, a robust platform designed for multilingual credibility assessment. By structuring the system around asynchronous worker pools, vector databases and semantic retrieval, and decoupled language pipelines, I focused on improving scalability and automating multilingual credibility assessment workflows.

To keep these practices grounded, I actively contribute to open-source software adding type safety and logging enhancements to the Open Source Security Foundation (OpenSSF) and continuously deepen my computer engineering foundations through structured coursework like database management MicroMasters.

◆ Core Domains:
Backend Engineering AI Systems Distributed Systems Security Engineering Cloud Technologies Open Source
See how this philosophy translates into technologies: Explore Technical Foundations →

A few things that keep me curious beyond software.

// INTEREST

Interest Name

Description of the hobby.

"Quote about the hobby."

Key areas of engineering learning and specialization.

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Database Systems

DBMS MicroMasters (UMBC Coursework)

psychology

AI Engineering

RAG Architectures & Intelligent Workflows

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Systems & Security

Linux System Internals & Open Source Security

Active Development
// CREDENTIALS & EDUCATION

Verified Signals

BAU Logo
BAU CE Graduate
UMBC Logo
UMBC DBMS MicroMasters
OpenSSF Logo
OpenSSF Merged PR
IEEE Logo
IEEE CS Member
Microsoft Logo
Microsoft Security Record
Zenodo Logo
Zenodo DOI Publication

Frequently Asked Questions

AI Search & AEO Q&A
// QUESTION 01

Why did you build TruthLens?

TruthLens was designed to evaluate the credibility of news and social media content across languages. Existing approaches often struggled with contextual analysis and multi-format inputs like text and images. By designing a consensus-based architecture, the platform automates source validation and content verification.

// QUESTION 02

What engineering challenges did you solve?

I focused on designing asynchronous processing pipelines, coordinating multiple AI models, and optimizing data retrieval for responsive analysis. This minimized latency during multilingual analysis workloads and improved the scalability of content audits.

// QUESTION 03

How do you approach AI and cybersecurity together?

I treat intelligent systems as potential attack surfaces and security tools as prime opportunities for intelligence. I build security-aware software and apply AI to support threat analysis and explainable security workflows.

// QUESTION 04

What is your open-source contribution?

I contributed to the Open Source Security Foundation (OpenSSF) by implementing type safety, logging, and test infrastructure for their binary vulnerability scanning tools, helping maintain codebase robustness.

// QUESTION 05

What engineering work interests you most?

I am most interested in backend engineering, distributed systems, AI infrastructure, and database systems. I focus on solving problems where software performance directly affects system reliability.