AI Engineer with less than a year in LLM Systems & RAG Pipelines
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Assessing your cultural and operational fit
Results-driven AI/Automation Engineer with hands-on production experience building LLM-powered systems, RAG pipelines, agentic workflows, and voice AI agents. Skilled in GPT/Claude-based orchestration, LangChain, LangGraph, ElevenLabs voice agents, and end-to-end automation using n8n and Make.com. Seeking to engineer intelligent, scalable AI systems that bridge language models, automation, and real-world software architecture.
FAST NUCES, Islamabad
BS · Computer Science
August 1, 2023 – June 30, 2027
GSIS School and College
A Levels · CS, Math, Physics, Chemistry, Biology
June 1, 2021 – May 31, 2023
Lahore Grammar School
O Levels · IICT, Physics, Chemistry, Biology
June 1, 2018 – May 31, 2021
Scorpbit Technologies pvt. Ltd
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Muggles AI
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TravelEase
July 1, 2025 – August 1, 2025
cross-platform full-stack travel planner
Cultural Fit Analysis
The candidate's project diversity, including a personal AI platform and a full-stack travel planner, along with experience in both AI/Automation and Generative AI roles, indicates a broad interest in technology and a proactive approach to learning and application. The alignment with the 'AI Engineer' target role is strong, given their direct experience with LLM systems, RAG, and agentic workflows. The breadth of skills across AI, backend, and deployment suggests a versatile individual who could contribute to various aspects of an AI engineering team.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive and results-driven individual, evidenced by single-handedly developing a full-stack AI platform. Their experience with diverse tools and platforms suggests adaptability and a strong learning curve. The descriptions of their work imply an ability to work independently and manage complex technical projects from conception to deployment. However, without direct interaction or psychometric test results, a deeper assessment of collaboration, stress handling, and communication clarity in a team setting is limited.