Open to opportunities

Ali Kourami

@alikourami

Message

I am a full-stack developer and AI/ML engineer blending blockchain, security, and cloud-native systems.

Morocco

Message

What I'm looking for

I seek roles building secure, scalable AI/ML and blockchain systems—stateful LLM agents, real-time analytics, and cloud-native deployments—on fast-paced teams with ownership, production delivery, and mentoring opportunities.

I am a full-stack developer with 5+ years’ experience delivering secure, data-intensive platforms that blend AI/ML, blockchain, and cloud-native architectures; I turn research concepts into production code using Rust, Python/Django, and orchestrate scalable deployments with Docker & Kubernetes.

I have shipped resilient solutions under tight timelines — including an AI Memory MCP with < 200 ms recall latency, a churn prediction app that cut churn by 12 percentage points, and a biometric platform sustaining 30FPS 1080p with < 5% false-alert rate — and I regularly mentor cross-functional teams while performing security-focused reviews (external audit 9.3/10).

Experience

Work history, roles, and key accomplishments

Current

Full-Stack & AI Engineer

Current

Freelance

Jan 2023 - Present (3 years 5 months)

Delivered secure, data-intensive platforms including a blockchain-backed, vector-searchable memory (recall <200 ms) and a churn-prediction app that reduced churn by 12 percentage points; containerised microservices, implemented CI/CD, and eliminated critical CVEs before release.

Python Rust Docker Kubernetes fastAPI Django Qdrant Hyperledger Sawtooth

Academic Final-Year Project

University Ibn Tofail

Oct 2024 - Jun 2025 (8 months)

Prototyped a Sawtooth-based secure messaging kernel on Raspberry Pi 5, achieving 35% lower power consumption than Hyperledger Fabric baselines; built a hybrid crypto stack and FastAPI gateway with an external security audit score of 9.3/10.

Hyperledger Sawtooth Raspberry Pi AES GCM RSA fastAPI Python Security Auditing

Cybersecurity & AI Researcher

Independent Lab

Mar 2024 - Dec 2024 (9 months)

Developed CNN-Attention and hybrid CNN-Transformer-BiGRU-LoRA models for DDoS and phishing detection (F1 = 0.96 / 0.94); deployed models as REST microservices on Kubernetes and built interactive packet-level visualisations.

PyTorch CNN Transformers Kubernetes REST APIs Streamlit Phishing

Education

Degrees, certifications, and relevant coursework

Ibn Tofail University

Master of Science, Artificial Intelligence and Cybersecurity

Activities and societies: Advanced Network Security; Machine Learning; Distributed Systems

Pursuing an M.Sc. in Artificial Intelligence and Cybersecurity at Ibn Tofail University, expected 2026; coursework includes Advanced Network Security, Machine Learning, and Distributed Systems.