AbdElKader Seif El Islem RAHMANI

About

Senior AI Engineer specializing in Agentic AI systems and production-grade LLM applications. Proven track record of designing, deploying, and optimizing AI agents in production environments with measurable impact on performance, cost, and scalability. Experienced in Retrieval-Augmented Generation (RAG), multi-agent systems, prompt optimization, and evaluation frameworks. Strong ability to translate business requirements into scalable AI architectures while leading technical decisions and client-facing delivery. Currently pursuing a PhD focused on autonomous AI agents and self- improving systems.

What I'm looking for

Open to freelance and contract roles in Agentic AI, LLM systems, and applied ML — building production-grade RAG pipelines, multi-agent architectures, and AI-driven products. Also interested in technical education/coaching roles (AI curriculum design, mentoring, workshops). Remote-first, flexible engagements alongside ongoing PhD research. Available for part-time or project-based collaboration with teams building real-world AI products

Experience

Lead AI Engineer (Freelance)

Systelium

Jun 2025 – Present

● Led end-to-end development of an AI-powered enterprise platform, delivering 70+ production releases with 99.9% uptime. ● Built scalable backend systems (FastAPI, PostgreSQL, async) and CI/CD pipelines, reducing deployment time by 60%. ● Integrated LLM-based automation (Gemini) for document processing and workflows, reducing manual effort by 70%. ● Architected microservices, AI-driven features, and business logic, improving project delivery performance by 40%. ● Acted as single technical owner, delivering AI prototypes (POCs) and scaling them into production systems with measurable business impact.

FastAPIPostgreSQLCI/CD

Deep Learning Engineer

AgriTechly

Jul 2023 – Jun 2024

● Developed deep learning models for plant disease detection, improving accuracy by 15%. ● Optimized model performance and reduced inference latency by 20%. ● Built data pipelines and synthetic datasets to improve robustness and scalability. ● Delivered end-to-end ML workflows from training to deployment with continuous evaluation.

Deep learningData pipelinesModel optimization

Education

University of Saida

Bachelor of Science · Computer Science

University of Saida

Master of Science · Computer Science

University Centre of Naama

Ph.D. · Computer Science

Certifications

Skills

Languages