Muhammad Ammar
NUST
· 2025
Email
muhammadammar001002@gmail.com
Phone
923018877291
LinkedIn
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GitHub
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Academic
Program
BESE
CGPA
3.04
Year
2025
Education
SEECS
Address
GULBAHAR #04 , MUSTAFA STREET , HOUSE # 65/2B,PESHAWAR. Peshawar , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Web development frameworks, Mysql, Python programming, Flutter apps development, Python, C++, Java, JavaScript, Machine learning, Large language models, Retrieval-augmented generation (RAG), Model deployment, Hugging Face models, Vector databases, Android Application Development, AI-powered knowledge retrieval, LLMs, GPT APIs
Interests / quote
Aspiring LLM Engineer with a strong foundation in AI-driven applications, retrieval-augmented generation (RAG), and model deployment. Passionate about leveraging large language models to develop intelligent systems that enhance productivity, streamline processes, and facilitate human-computer interaction. Seeking opportunities to apply problem-solving skills and expertise in Python, Hugging Face models, and vector databases to innovative AI projects.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
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Details Technical Skills Soft Skills Reference Muhammad Ammar Cell: 923018877291 Email: muhammadammar001002@gmail.com Address: GULBAHAR #04 , MUSTAFA STREET , HOUSE # 65/2B,PESHAWAR. Peshawar , Pakistan Web development frameworks Mysql & python programming lan Flutter apps development Python, c++, java, javascript Machine learning Team workship Logical and conceptual learner Flexibility and adaptability Time management Problem solving and innovation To be furnished upon request. Professional Profile Aspiring LLM Engineer with a strong foundation in AI-driven applications, retrieval- augmented generation (RAG), and model deployment. Passionate about leveraging large language models to develop intelligent systems that enhance productivity, streamline processes, and facilitate human-computer interaction. Seeking opportunities to apply problem-solving skills and expertise in Python, Hugging Face models, and vector databases to innovative AI projects. Education BE Software Engineering School of Electrical Engineering and Computer Science , 3.04 Matric / O levels , (2018) Intermediate / A levels , (2020) Bachelors In Software Engineering SEECS , NUST , 3.04 (2025) Internship Experience PakSoftware ( 01-Jul-2023 - 06-Aug-2023 ) Android Application Development Projects Knowledge Worker For A Ficticious Insurance Company With End-To-End RAG This project is an AI-powered knowledge retrieval system that leverages Retrieval-Augmented Generation (RAG) to provide precise, context-aware responses. It integrates large language models (LLMs) with a custom knowledge base from a fictitious company, ensuring that responses are not only accurate but also ta Meeting Minutes Generator Designed and implemented an AI-driven system that transcribes and summarizes meeting discussions, providing structured and concise minutes for improved productivity. Sales Assistant for Airline Bookings Developed an AI-powered assistant that helps users check ticket prices for available flights and facilitates bookings upon request for a fictitious airline company.Generates image of the desired city and provided end to end audio conversation.The system leverages tools and APIs within GPT to fetch flight dat
AI enrichment
Muhammad Ammar is a 2025 BE Software Engineering graduate with a focus on AI-driven applications, specifically Retrieval-Augmented Generation (RAG) and Large Language Models. He possesses practical experience through an internship in Android development and has built several AI projects involving vector databases and model deployment.
Skills (AI)
["Python", "Machine Learning", "Retrieval-Augmented Generation (RAG)", "Large Language Models (LLMs)", "Hugging Face", "Vector Databases", "Flutter", "Android Development", "MySQL", "C++", "Java", "JavaScript"]
Status: ai_done