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AI Engineer with less than a year in Python, MERN stack, and data analysis, seeking to apply academi
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Currently pursuing a Bachelors in Computer Science, Sanjna Aylani is an aspiring AI Engineer with a solid foundation in Python, JavaScript, and C++. Her academic projects showcase hands-on experience in developing AI chatbots using RAG architecture, full-stack MERN applications for restaurant management, and data analysis tools with Python and Streamlit. With interests spanning Backend Development, Machine Learning, Deep Learning, and Generative AI, Sanjna is poised to contribute effectively to innovative technology solutions.
National University of Computer and Emerging Sciences, Karachi
Bachelors in Computer Science · Computer Science
August 1, 2023 – June 30, 2027
Network Log Analyzer
January 1, 2024 – December 31, 2024
Developed a live web application to analyze and visualize network log files for performance monitoring and anomaly detection. Used Python and Pandas for parsing and processing large-scale log data. Built interactive dashboards using Streamlit for real-time traffic and error analysis.
RAG (Retrieval-Augmented Generation) Chatbot
January 1, 2024 – December 31, 2024
Built a context-aware chatbot using RAG architecture to answer queries from custom documents. Integrated vector databases for semantic search. Implemented prompt engineering and conversation memory handling.
Restaurant Management System
January 1, 2024 – December 31, 2024
Developed a complete restaurant management system for inventory, orders, staff, and reporting. Implemented role-based authentication using JWT. Designed RESTful APIs and MongoDB database structure. Built responsive UI using React.
Other Academic Projects (C++/Systems Programming)
January 1, 2024 – December 31, 2024
Library Management System using OOP principles. Telephone Directory using linked lists and file handling. CPU scheduling visualization, spelling checker using FSM, and MASM-based projects.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a breadth of interests from AI/ML to full-stack development and systems programming. This versatility could be a good fit for dynamic environments. However, all projects are academic, which might indicate a preference for structured learning environments over fast-paced, ambiguous industry settings. The target role of 'AI Engineer' aligns well with the RAG Chatbot project, showing direct interest and some foundational skills in the domain.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges. The academic nature of all projects suggests a learning-oriented individual, but also implies a lack of real-world, production-level experience. The absence of completed soft skill assessments (English, Psychometric) makes it difficult to assess communication, teamwork, and stress handling abilities.