Asna Maqsood

Academic

Career

Verbatim text

Asna Maqsood
Cell: 923338972173 |  Email: asna.maqsood2021@gmail.com
LinkedIn: https://www.linkedin.com/in/asna-maqsood
Address: MAQSOOD AHMED HOUSE, P-399, ASKARI STREET, AMIN TOWN , Faisalabad , Pakistan
PROFESSIONAL PROFILE
Motivated Software Engineering undergraduate with a strong academic record and hands-on experience in full-stack development,
mobile app development, and artificial intelligence. Experienced in building real-world systems using modern technologies including
MERN stack, Flutter, and AI-driven solutions. Passionate about problem-solving, continuous learning, and applying machine learning
and agentic AI techniques to develop scalable, user-focused software products. Seeking graduate opportunities where I can
contribute technically while further developing my expertise in software engineering and intelligent systems.
Link to my resume: https://asnamaqsoodresume.vercel.app/
EDUCATION
Software Engineering
SEECS, NUST , Islamabad , 3.68 (2022)
INTERNSHIP EXPERIENCE
ScriptExp Pvt.Ltd.
02-Jun-2025 - 01-Aug-2025
Completed a 9-week software & AI internship (288+ hours) with hands-on exposure to industry workflows and best coding practices.
Gained practical experience in Python and JavaScript, focusing on logic building, debugging, and clean code principles. Worked with
Git version control, understanding collaborative development and team-based coding practices. Developed a strong foundation in
Artificial Intelligence and Machine Learning, including: Supervised & unsupervised learning, Neural networks, Data preprocessing
(cleaning, normalization, missing values handling). Implemented and tested machine learning algorithms such as: Linear Regression,
Logistic Regression, Decision Trees. Actively contributed to dataset preparation, model training, and evaluation using scikit-learn.
Played a key role in the development of an AI-Based Smart Career Recommendation System, including: Research on
recommendation techniques Dataset collection and preprocessing NLP-based skill extraction from user input Career path prediction
using ML models Integrated AI models with a web-based frontend, connecting backend logic with a user-friendly UI. Conducted end-
to-end system testing, bug fixing, and performance optimization to improve model accuracy. Prepared technical documentation and
delivered a final project demo, incorporating feedback for future improvements.
Prograsec, Faisalabad
01-Aug-2025 - 31-Aug-2025
Completed an AI-focused internship at PrograSec, working on real-world, production-oriented artificial intelligence applications.
Designed and developed FastAPI-based web applications, creating efficient backend services and RESTful APIs for AI-driven
systems. Built and deployed Retrieval-Augmented Generation (RAG) projects, integrating: Document ingestion and preprocessing,
Vector databases for semantic search, Large Language Models (LLMs) for context-aware responses Worked on AI chatbot systems,
including an Interview Bot capable of: Asking domain-specific interview questions, Analyzing user responses, Providing intelligent,
context-aware interactions Implemented NLP pipelines for text processing, information retrieval, and response generation. Integrated
AI models with web backends, ensuring smooth communication between APIs, databases, and AI components. Gained hands-on
experience with prompt engineering, model tuning, and evaluation of LLM-based systems. Collaborated with the development team
to test, debug, and optimize AI applications for performance and scalability. Followed secure coding practices and structured project
workflows, aligning development with industry standards.
FINAL YEAR PROJECT
InnBotics: AI-Powered Smart Property Management System
InnBotics is an intelligent, AI-driven hotel management system designed to automate and enhance end-to-end hotel operations and

AI enrichment