Ayesha Ehsaan
@ayeshaehsaan
Final-year Artificial Intelligence student building practical ML and software solutions.
What I'm looking for
I am a final-year Bachelor’s student in Artificial Intelligence with hands-on experience across multiple programming languages, development tools, and machine learning frameworks.
I have built diverse projects including ML classifiers for stellar classification, a shopping optimizer using genetic algorithms, a library management system in Java, and a chatbot for emergency response, demonstrating strong practical application of AI concepts.
In internships I developed a network intrusion detection prototype in C++ and an NLP-to-SQL generator using OpenAI APIs, Pinecone, and PostgreSQL, improving detection efficiency and enabling natural-language data retrieval for non-technical users.
I bring strategic problem solving, time management, and a commitment to continuous learning, and I thrive in dynamic environments that require technical rigor and clear communication.
Experience
Work history, roles, and key accomplishments
AI Intern
EnerTeck
Aug 2025 - Sep 2025 (1 month)
Built an NLP-to-SQL generator using OpenAI APIs, Pinecone, and PostgreSQL to enable natural-language data retrieval and semantic search for non-technical users.
C++ Intern
Outsecure
Jul 2025 - Sep 2025 (2 months)
Developed a NIDS prototype for real-time traffic analysis, implemented C++ packet inspection and anomaly-detection modules, and optimized detection routines to improve processing efficiency.
Education
Degrees, certifications, and relevant coursework
FAST-NUCES
Bachelor of Science, Artificial Intelligence
Grade: 3.32 CGPA
Activities and societies: Programming projects including Library Management System (Java), Emergency Unit Chatbot (C), Shopping Robot (Python, Flask), Stellar Classification (Python), ML football match predictions, Gym Management System (Laravel+MySQL), Pose2Caption (deep learning).
Final-year Bachelor’s student in Artificial Intelligence with a current CGPA of 3.32 and hands-on experience across multiple programming languages and development tools.
St. Patrick's College
Intermediate, Computer Science
2018 - 2020
Grade: 82%
Completed intermediate studies in Computer Science with project work including a console chatbot simulating AI-assisted emergency response.
St. Lawrence's Convent Girls' School
Matriculation, Computer Science
Grade: 87%
Completed matriculation in Computer Science with projects in ML classification and data visualization.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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