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AI & automation engineer with a data science background from EPFL, specializing in LLM-powered systems, RAG, embeddings, and end-to-end agentic workflow automation. I build production-ready pipelines for lead generation, meeting intelligence, analytics/BI reporting, and computer vision—combining strong Python/SQL fundamentals with practical automation using Google Workspace and modern AI tools.…

Ahmed N. Achiche

AI Engineer, Data Scientist, Programmer, +2

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AI & automation engineer with a data science background from EPFL, specializing in LLM-powered systems, RAG, embeddings, and end-to-end agentic workflow automation. I build production-ready pipelines for lead generation, meeting intelligence, analytics/BI reporting, and computer vision—combining strong Python/SQL fundamentals with practical automation using Google Workspace and modern AI tools.…

Available to hire

AI & automation engineer with a data science background from EPFL, specializing in LLM-powered systems, RAG, embeddings, and end-to-end agentic workflow automation.
I build production-ready pipelines for lead generation, meeting intelligence, analytics/BI reporting, and computer vision—combining strong Python/SQL fundamentals with practical automation using Google Workspace and modern AI tools.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Beginner

Beginner

Beginner

Language

French

Fluent

English

Fluent

Work Experience

Computer Vision Engineer (Master Thesis) at Hikane

January 1, 2025 - December 31, 2025

Compared state-of-the-art computer vision segmentation models for multimodal obstacle detection, including DeepLab, SegFormer, and YOLO variants. Evaluated trade-offs across inference speed, accuracy, and hardware cost to support architecture decisions for constrained deployment scenarios. Synthesized evaluation metrics and model behavior into rigorous weekly reports for startup founders, linking technical findings to practical deployment choices and product constraints.

AI Engineer (Intern) at Sqrib

January 1, 2024 - December 31, 2024

Built an end-to-end meeting intelligence pipeline in Python combining speech-to-text, speaker diarization, transcript segmentation, action-item extraction, and retrieval-augmented generation for searchable meeting analysis. Owned the full preprocessing and transcript structuring stack (audio cleaning, chunking, segmentation, embeddings, and output formatting) to support downstream retrieval workflows. Improved multi-speaker transcript quality by tuning diarization thresholds and refining segmentation/embedding strategies to enhance readability and downstream retrieval usefulness. Produced navigable meeting outputs with chaptered transcripts, structured summaries, and chatbot retrieval over meeting content.

BI Analyst at Freelance (Fiverr)

January 1, 2023 - Present

Built and debugged Tableau dashboards for marketing and operations clients, translating raw data into KPI frameworks and decision-ready views. Optimized calculations, data-source structure, and dashboard performance to improve refresh speed, usability, and reporting reliability. Worked directly with clients to validate metrics and iterated on deliverables based on practical decision-making needs.