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Salma W
@salmawaleed_
AI engineer for computer vision, robotics and AI agents
Égypte
Arabe, Anglais
À propos de moi
I'm an AI engineer working across computer vision, robotics, and generative AI. I build Python solutions for object detection, depth estimation, ROS-based robotics, and autonomous navigation, as well as AI agents, RAG systems, and workflow automation. At VOIS, I've developed multi-agent tools with Google ADK and Cloud Run and document QA with Azure OpenAI. I can help with a scoped prototype, model improvement, integration, or technical review. I define deliverables and limitations clearly and communicate in English and Arabic.
Compétences
Salma W
hors ligne •
Voir mes services
Vision par ordinateur
I will build a computer vision or object detection prototype
Programmation et Tech
I will build or debug a ros robotics prototype
Portfolio
Expérience professionnelle
VOIS for Tech
Temps plein • 1 yr 7 mos
Agentic AI Engineer
May 2026 - Present • 6 mos
I work within an **AI & Automation team, specializing in Agentic AI solutions and intelligent workflow automation**. My role involves designing, developing, and integrating AI agents that automate complex business processes using Python, Google ADK, LLMs, APIs, and cloud services. I work across the full development lifecycle, including solution design, agent orchestration, tool and API integration, workflow state management, testing, deployment, monitoring, and technical documentation. I also integrate AI solutions with enterprise platforms such as SharePoint, Outlook/Office 365, BigQuery, and Google Cloud. A key part of my work is building **reusable and scalable agentic patterns** rather than one-off solutions, with a strong focus on clean architecture, code quality, reliability, human-in-the-loop approvals, and production-ready automation.
Generative AI Engineer
Apr 2025 - May 2026 • 1 yr 1 mo
Built RAG and document question-answering workflows with Azure OpenAI for knowledge retrieval across business units. Developed automated high-level design generation and scalable LLM pipelines on Azure, with evaluation for answer grounding and call analytics.
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