Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 3+ years in Agentic AI, Computer Vision & Workflow Automation.
AI Engineer specializing in Agentic AI (LLM, LVM, RAG, chatbot), Computer Vision, and Workflow Automation. Experienced in designing and deploying scalable AI driven automation pipelines and intelligent backend systems. Proficient in Python (Django/Flask/Fast), LangChain/LangFlow, OpenCV, and Ultralytics, with hands-on expertise in API integrations and workflow orchestration using n8n. Skilled in evaluation, monitoring, and optimization to ensure reliability, efficiency, and high performance across AI powered systems.
IQRA University
BS Software Engineer
August 1, 2023 – June 30, 2023
Inseyab consulting & Information Solutions LLC
AI Engineer (Python Dev)
October 1, 2025 – Present
India
xLoop Digital Services (Pvt) Ltd.
AI Software Engineer (Python Dev)
February 1, 2023 – December 31, 2025
India
Generative Ai with Large Language Models
deeplearning.ai
June 1, 2026 – Present
Data Engineering bootcamp
Emeritus
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across diverse projects (visual monitoring, document management, ERP chatbots, conversational analytics) and industries (Saudi Vision 2030, banking, insurance) suggests adaptability and a broad interest in applying AI solutions. The involvement in enterprise-grade systems for large organizations indicates an understanding of corporate environments and the need for robust, scalable solutions. The certifications in Generative AI and Data Engineering further demonstrate a commitment to continuous learning and staying current with industry trends, which aligns well with a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through the development of complex AI systems for real-world enterprise challenges. The detailed project descriptions suggest an ability to work on large-scale, impactful projects and an understanding of operational requirements like security compliance, scalability, and reliability. The mention of 'workflow orchestration using n8n' and 'API integrations' points to a practical, integration-focused mindset.