Ahmad Ferdaws Shafiq
0%
AI Engineer

Ferdaws

AI Engineer focused on systems that ship. I design and build production agentic pipelines, ML models, and automation infrastructure that solves real problems at scale.

Scroll
About

The person
behind the builds.

I'm Ahmad Ferdaws Shafiq, a Computer Science student at North American University, AI Engineer, and founder based in Houston, Texas. My interest in technology started early and never stopped growing. Over time that curiosity became a discipline: building systems that are technically rigorous, production-ready, and actually useful.

Today I work across agentic AI, machine learning, and automation infrastructure, and I'm pursuing graduate research to push further into what's possible with AI systems.

90%
Manual workload reduced
1K+
Documents per week
40+
Staff hours saved / cycle
Photo
coming soon
Featured Projects

Production systems,
real impact.

01 / Featured

Anna - Agentic Placement Automation System

A production AI agent built to automate contractor placement operations at scale. Processing over 1,000 documents per week, Anna autonomously stages candidates through the placement pipeline - work that previously required continuous manual effort from the recruiting team. The system reduced manual workload by approximately 90%, freeing staff to focus on higher-value decisions.

n8nClaude APIBullhorn CRMTwilioGmailSupabasePostgreSQLMicrosoft SQL Server
02 / Featured

MOVE - Motor Output vs. Visualized Execution

An end-to-end 64-channel motor-imagery EEG pipeline built for 4-class intention decoding across 86 subjects and 7,000+ trials. Applied subject-independent GroupKFold validation with EEGNet and Riemannian ML, achieving 42-45% balanced accuracy against a 25% chance baseline. Deployed as a real-time inference API with confidence scoring, artifact detection, and ABSTAIN safety gating for interpretable BCI output.

PythonMNE-PythonTensorFlow / KerasScikit-learnFastAPI
03 / Featured

Multi-Agent Task Orchestrator

A multi-agent system where four specialized AI agents collaborate under a central orchestrator to handle complex, multi-step tasks. Built with a production-grade backend, persistent task state, and a live React dashboard for monitoring agent activity in real time.

FastAPIPostgreSQLReactTypeScriptClaude API
More Projects

Also built.

Platform

Admission Copilot

AI-powered university program discovery and application management platform. Personalized program matching, task-list generation, and guided planning workflows backed by a scalable Prisma + PostgreSQL data layer.

Next.jsTypeScriptTailwind CSSPrismaPostgreSQLGemini API
Hackathon / 7th Place

AI Agent Security Sandbox

Adversarial evaluation framework for browser-based AI agents. Tests against prompt injection and unsafe action patterns with reproducible evidence logging, context-aware risk scoring, and remediation reporting.

PythonPlaywrightStatic AnalysisNVIDIA Nemotron
Experience

Where I've
built things.

VC5 Consulting

AI Engineer Intern
Current

Building RAG pipelines, fine-tuning LLMs, and developing LangChain-based systems for client AI deployments.

Comal Services

Automation Engineer Intern
Recent

Designed and deployed Anna, a production agentic system for contractor placement automation. Built supporting n8n workflows integrating Bullhorn CRM, Twilio, Gmail, Supabase, PostgreSQL, and Microsoft SQL Server.

North American University

Student Automation Engineer
May 2023 - Present

Built Salesforce admissions automations reducing processing time by 32% and manual errors by 41%. Created 8 n8n workflows saving 40+ staff hours per cycle. Supported AI-assisted application triage across 700+ applications.

Certifications

Verified expertise.

Generative AI LLMs

NVIDIA Certified Professional / NCP-GENL

Accelerated Data Science

NVIDIA Certified Professional / NCP-ADS

Writing

Thinking Out Loud

Coming Soon

Words in progress.

Writing on agentic AI systems, machine learning infrastructure, and the occasional deep dive into whatever I'm building.

Open to opportunities

Let's Build
Something.

I'm currently open to internship opportunities, research collaborations, and PhD program connections in AI and machine learning. If you're working on something interesting, reach out.