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Ayesha EhsaanAE
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Ayesha Ehsaan

@ayeshaehsaan

Final-year Artificial Intelligence student building practical ML and software solutions.

Pakistan
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What I'm looking for

I seek AI/ML roles where I can apply practical ML and NLP skills, work on impactful products, learn from engineers, and contribute to data-driven solutions in a collaborative environment.

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

Education

Degrees, certifications, and relevant coursework

FAST-NUCES logoFA

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.

SC

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.

SS

St. Lawrence's Convent Girls' School

Matriculation, Computer Science

Grade: 87%

Completed matriculation in Computer Science with projects in ML classification and data visualization.

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