I’m Aimen Guedhami, an AI/ML & data automation engineer focused on building retrieval-augmented generation (RAG) systems and LLM-powered workflows that reliably connect to real-world data. I enjoy designing hybrid retrieval pipelines, evaluating LLM performance with clear metrics, and improving grounding through adaptive prompting strategies that work across multiple model families. I also bring strong engineering fundamentals Python automation, REST API integrations, and cloud-native deployments with Docker and Kubernetes so prototypes can evolve into production services. Through my work and ongoing research, I aim to create practical, measurable AI solutions, from emotion recognition benchmarks to agentic systems that can call tools and support data-driven decision-making.…

Aimen Guedhami

I’m Aimen Guedhami, an AI/ML & data automation engineer focused on building retrieval-augmented generation (RAG) systems and LLM-powered workflows that reliably connect to real-world data. I enjoy designing hybrid retrieval pipelines, evaluating LLM performance with clear metrics, and improving grounding through adaptive prompting strategies that work across multiple model families. I also bring strong engineering fundamentals Python automation, REST API integrations, and cloud-native deployments with Docker and Kubernetes so prototypes can evolve into production services. Through my work and ongoing research, I aim to create practical, measurable AI solutions, from emotion recognition benchmarks to agentic systems that can call tools and support data-driven decision-making.…

Available to hire

I’m Aimen Guedhami, an AI/ML & data automation engineer focused on building retrieval-augmented generation (RAG) systems and LLM-powered workflows that reliably connect to real-world data. I enjoy designing hybrid retrieval pipelines, evaluating LLM performance with clear metrics, and improving grounding through adaptive prompting strategies that work across multiple model families.

I also bring strong engineering fundamentals Python automation, REST API integrations, and cloud-native deployments with Docker and Kubernetes so prototypes can evolve into production services. Through my work and ongoing research, I aim to create practical, measurable AI solutions, from emotion recognition benchmarks to agentic systems that can call tools and support data-driven decision-making.

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Language

Arabic
Fluent
English
Fluent
French
Advanced
German
Beginner

Work Experience

Freelance Full-Stack Developer at Self-Employed
April 1, 2025 - Present
Delivered end-to-end web development engagements, including requirements gathering, architecture, REST API integration with authentication patterns, and deployment. Built production-ready client websites while managing multiple concurrent projects, covering React, Node.js, and MongoDB alongside backend API development.
AI/ML & Data Automation Engineer at Datadoit
January 1, 2025 - March 1, 2026
Architected and containerized GenAI microservices using FastAPI and Docker on Azure, building multi-granularity RAG pipelines to benchmark LLMs across hierarchical emotion taxonomies. Designed a hybrid retrieval engine (BM25 + dense semantic search) and used weighted score fusion to improve retrieval-guided prompting performance. Implemented adaptive few-shot in-context learning with automated stopping criteria to improve LLM grounding across multiple LLMs. Built reproducible data engineering pipelines with strict schema validation and stratified splitting for 50,000+ records, and shipped a Streamlit dashboard for tracking evaluation metrics and accelerating iteration.
Data Automation Developer at Artisans Encubator
June 1, 2024 - August 1, 2024
Engineered Python automation pipelines to process 10,000+ records daily with high accuracy using BeautifulSoup and Selenium. Built automated QA and data-validation workflows with CI-style checks, reducing manual verification time significantly and enabling downstream retrieval and reporting systems.

Education

B.S. Software Engineering at Mediterranean Institute of Technology (MedTech)
September 1, 2020 - June 1, 2025

Qualifications

AWS Certified Cloud Practitioner
January 11, 2030 - September 25, 2026
Professional Scrum Master I (PSM I)
January 11, 2030 - September 25, 2026

Industry Experience

Software & Internet, Healthcare, Professional Services