Rachid

Staff Engineer

Confidentials • Período integral

Dec 2025 - Present • 5 mos

# Engineering Productivity & Technical Leadership • Partner with multiple R&D teams to improve engineering productivity, code quality, and architectural alignment across projects. • Mentor senior engineers and tech leads on system design, scalability, and engineering best practices. • Provide technical leadership on complex engineering challenges and cross-team initiatives. # AI Platform Performance & Optimization • Supported engineering teams in diagnosing and resolving performance bottlenecks in applications leveraging Large Language Models (LLMs). • Implemented optimization strategies to reduce inference latency and improve reliability of LLM-based services. # Quality Engineering Transformation • Trained and guided QA teams in transitioning from manual testing to automated testing practices. • Introduced modern test automation strategies and frameworks to improve product reliability and release velocity. # FinOps Platform • Designed a FinOps solution to monitor and optimize cloud and AI infrastructure costs. • Developed backend components to collect usage metrics and provide insights for cost optimization across engineering teams.

Senior Software Engineer - Technical Lead

Oracle • Período integral

Sep 2022 - Oct 2025 • 3 yrs 1 mo

# Architect Assistant • Developed an AI-powered assistant to help architects search for design patterns related to networking, cloud services, and other technical domains. • Designed the data model to support efficient and structured data ingestion. • Built a data extraction component to retrieve relevant content from Confluence pages. • Implemented a Retrieval-Augmented Generation (RAG) pipeline using Cohere LLM for embeddings and a LLaMA model for text generation. • Built the infrastructure on Oracle Cloud to support and deploy the solution securely and efficiently. # OpenSearch on Oracle Cloud for Citizen Services This PoC explored leveraging OCI Search with OpenSearch to enhance citizen services by enabling efficient multilingual search capabilities. It involved setting up an infrastructure environment in Oracle Cloud, integrating a pretrained hosted model for English, and deploying a custom Hugging Face model to support dialects like Swahili and Kinyarwanda. The solution aimed to improve search relevance and accessibility for diverse user groups. # Retrieval-Augmented Generation (RAG) Pipeline for Insight Summarization This PoC focused on building a RAG pipeline leveraging LangChain and Oracle 23ai DB as a vector store to generate meaningful summaries of insights from structured event data. The solution processed three key datasets: Insights Data (event metadata, location, intensity, and timeline) Event Impact Data (population, infrastructure capacity, severity, and geospatial impact) Shape Impact Data (quadkey-based geospatial severity mapping) By embedding and retrieving relevant context from these datasets, the pipeline enabled automated summarization of insights, enhancing analytical capabilities for event-driven decision-making. # In addition to my main duties, I : - Mentoring engineers. - Conducting technical interviews (Data Structures, Algorithms and System Design)