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AI Engineer with less than a year in Generative AI & LLM Integrations.
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Assessing your cultural and operational fit
AI graduate with hands-on experience in Generative AI, prompt engineering, LLM integrations, and AI-assisted application development. Skilled in designing effective prompts, building AI-powered workflows, and integrating modern AI tools into development pipelines. Experienced with ChatGPT, Claude AI, GitHub Copilot, Cursor AI, and OpenAI APIs for automation, content generation, reasoning workflows, and intelligent systems. Passionate about leveraging AI technologies to solve real-world problems and improve user experiences.
SZABIST, Islamabad
BS Artificial Intelligence · Artificial Intelligence
N/A – June 30, 2026
ANF Academy, Islamabad
AI Intern
August 1, 2025 – January 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Real-Time Face Recognition System with Alerts
June 27, 2026 – Present
Built a real-time face recognition and alert generation system using OpenCV. Integrated external APIs for automated notifications and monitoring workflows. Improved inference performance and system reliability through preprocessing techniques.
Multimodal RAG Assistant
June 27, 2026 – Present
Developed an AI-powered assistant using FastAPI, Docker, and LLM APIs. Implemented Retrieval-Augmented Generation (RAG) with multimodal embeddings (CLIP). Designed prompts and response workflows for intelligent contextual answers. Built backend pipelines for query processing, logging, and AI response generation.
Sketch-to-3D AI Application (Final Year Project)
June 27, 2026 – Present
Developed a full-stack AI application with Python backend and React Native frontend. Integrated Meshy AI APIs for AI-generated 3D model creation and visualization. Utilized ChatGPT, Claude AI, and GitHub Copilot during development and feature implementation. Worked on AI workflow optimization and prompt experimentation for better outputs.
NAVTTC Artificial Intelligence & Machine Learning
Unknown
June 1, 2026 – Present
Microsoft AI-900 (In Progress)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse application of AI, from multimodal RAG to 3D model generation and real-time face recognition, indicating a broad interest and adaptability. The target role of 'AI Engineer' aligns well with their stated passion for Generative AI and their project experiences. However, the experience is primarily academic and internship-level, which might require more mentorship in a professional setting. The breadth of skills covers various AI domains, suggesting a versatile individual.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and analytical thinking, adaptability to emerging technologies, and effective communication/collaboration skills, as self-reported and implied by project descriptions. Their passion for Generative AI aligns well with the target role's demands for innovation and continuous learning. The internship experience highlights collaboration in a fast-paced, experimentation-focused environment.