Eliott Colson

Architected a Retrieval-Augmented Generation (RAG) pipeline using Azure OpenAI and Python to query internal documentation. Implemented the ingestion workflow: chunking strategy, embedding generation, and indexing in a Vector Database (Azure Search). Developed a FastAPI microservice to expose the RAG model to front-end applications. Optimized the project lifecycle to identify bottlenecks and accelerate launch times.

Marketing Operations: Orchestrated end-to-end digital campaigns using Meta Ads Manager, achieving 30k+ impressions through A/B testing on audiences. Data Analysis: Monitored granular KPIs (CTR, CPC, ROAS) to optimize ad spend and identify user drop-off points in the funnel. MarTech Stack: Built a fully automated e-commerce infrastructure (Shopify, Payment Gateways) integrated with third-party APIs for CSR (Ecologi) and analytics. AI Integration: Leveraged Generative AI (LLMs, Image Gen) to scale content production for social media, reducing creative lead time.

Built an automated tool as a Python developer in a 9-person agile team, monitoring company servers and sending error reports via email and web interface.