Abdelhadi Hirchi

Support teams in the adoption of generative AI and Microsoft Copilot solutions.

Design and optimization of advanced prompts for business use cases.

Development of AI assistants and conversational agents to improve employee productivity.

Automation of business processes using generative AI technologies.

Facilitation of workshops, training sessions, and demonstrations on Microsoft Copilot, Copilot Studio, and enterprise AI usage.

Consulting on governance, best practices, and integration of AI in professional environments.

LLM Projects (Meta, OpenAI), Remote, OR, USA

Design, structuring, and iteration of prompts for large language models (LLMs) on various use cases: summarization, information extraction, classification, and dialogue.

Critical analysis of model responses (hallucinations, inconsistencies, biases) and continuous improvement of output quality through feedback loops.

Definition of reproducible prompting patterns (instructions, constraints, expected output format).

Contribution to the evaluation, alignment, and robustness of multilingual models (FR, EN, ES, AR).

Delivery of 1200+ prompts and evaluations, with a measured improvement of +18% in accuracy and consistency of responses.

Collaboration with AI teams on issues of quality, reliability, and best practices for LLM usage.

Keywords: Prompt Engineering • LLM Evaluation • NLP • AI Quality • Advanced Data Annotation • GPT • Python

Collaboration with the development team to implement a system for monitoring advertising campaign performance, enabling deeper analysis of results.

Analysis of marketing data to identify trends and growth opportunities.

Creation of dashboards and reports to present analysis results to management teams.

Implementation of predictive models to anticipate consumer behavior.

Collaboration with the marketing team to optimize advertising campaigns using collected data.

PowerBI, Azure, Synapse, A/B testing, Mymaps, Machine Learning