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AI Engineer with less than a year in Multi-Agent Systems & RAG
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AI Engineer with hands-on experience building production-grade multi-agent pipelines, Transformer models, and RAG systems using LangGraph, Google Gemini, LangChain, and FastAPI. GenAI Certified, currently interning at the NCRA-UAV Dependability Lab, a government-funded research center. Proficient across the full AI development stack from low-level systems programming in x86 Assembly to deploying autonomous agentic AI. Proven ability to ship, collaborate, and lead in real-world environments.
FAST National University of Computer and Emerging Sciences (NUCES)
Bachelor of Science · Computer Science
June 1, 2024 – May 1, 2028
NCRA-UAV Dependability Lab
AI Agentic Intern
May 1, 2026 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Pehli Kiran Schools
AI Lab Assistant (Civics Course)
August 1, 2025 – January 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
MatteMind - Transformer Chatbot and RAG System
June 27, 2026 – Present
Built a character-level Transformer model from scratch trained on 50,000+ Shakespeare text passages, integrated with a LangChain RAG pipeline for real-time factual grounding and persona-specific multi-turn dialogue with minimized hallucinations.
View ProjectAetheris – AI Deep Research Assistant
June 27, 2026 – Present
Built a 4-agent LangGraph pipeline (clarity, research, validation, synthesis) with Tavily Search and Google Gemini, serving 10+ users with real-time confidence scoring (0-10) and autonomous retry logic for low-confidence research paths.
CityMind – Smart City Emergency Response AI
June 27, 2026 – Present
Designed a 144-node emergency dispatch simulator integrating 5 techniques: CSP validation, Genetic Algorithm optimization, Simulated Annealing, dynamic A* rerouting, and Random Forest crime-risk classification for real-time dispatch.
View ProjectAgentic AI
DeepLearning.AI
June 1, 2026 – Present
Generative AI
PlanetBeyond Islamabad
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects like 'Aetheris' and 'MatteMind', and the 'CityMind' emergency response AI, showcases a broad interest in applying AI to various domains. Their involvement in community service and educational roles (AI Lab Assistant) suggests a collaborative and socially conscious mindset. The hackathon participation indicates a drive for innovation and teamwork under pressure. These aspects align well with a culture that values continuous learning, practical application, and impactful contributions, making them a good cultural fit for an AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through their involvement in hackathons, community service, and computing societies. Their experience as an AI Lab Assistant shows an ability to communicate complex technical concepts effectively and mentor others. The internship at NCRA-UAV Dependability Lab indicates an ability to collaborate in a research setting and contribute to market-needed initiatives. The project descriptions are clear and highlight problem-solving skills and a results-oriented approach.