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AI Research Engineer with less than a year in Machine Learning & Computer Vision.
Aamina Bokhari is an aspiring AI Research Engineer with 0.8 years of experience in Machine Learning and Computer Vision, currently pursuing a Bachelor of Science in Software Engineering. She has a strong foundation in Python, NLP, and Machine Learning, demonstrated through projects like an AI-based educational assistant for deaf and mute children and an AI study assistant. Her technical expertise extends to web development, database systems, and various AI search algorithms, reflecting her passion for developing AI-driven applications and intuitive frontend interfaces.
FAST - National University of Computer and Emerging Sciences, Islamabad
Bachelor of Science · Software Engineering
September 1, 2022 – June 1, 2026
The Science School, DHA
Cambridge International A Levels · Physics, Chemistry, Mathematics
September 1, 2020 – June 1, 2022
The Science School, DHA
Cambridge International O Levels
September 1, 2018 – June 1, 2020
NESCOM (NECOP)
Artificial Intelligence Intern
January 1, 2025 – Present
India
AI-Based Educational Assistant for Deaf & Mute Children
June 1, 2024 – Present
An AI-based classroom assistant enabling two-way communication through ASL sign-to-text recognition and text-to sign translation, focused on teaching elementary-level mathematics in offline classroom environments.
AI Study Assistant
September 1, 2023 – Present
Developed an AI assistant that generates learning material, finds research papers, and creates summarized presentations.
E2E Encrypted Messaging & File-Sharing System
March 1, 2023 – Present
Built a secure messaging system with end-to-end encryption, key exchange, and replay-attack protection.
Movie Recommendation System
September 1, 2022 – Present
Implemented backend with JWT-secured APIs for personalized movie recommendations.
Word Ladder Game
September 1, 2022 – Present
Implemented AI search algorithms to find shortest word-transformation paths.
Weather Dashboard & Chabot Integration
September 1, 2022 – Present
Developed interactive weather dashboard integrating APIs and chatbot for user interaction.
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI-driven applications, particularly those with social impact (e.g., AI-Based Educational Assistant for Deaf & Mute Children). This aligns well with roles that value innovation and problem-solving for real-world challenges. The diversity of projects, from web development to AI search algorithms and secure messaging, indicates adaptability and a broad technical curiosity. The internship at NESCOM suggests an ability to integrate into structured work environments.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, leadership, interpersonal skills, and communication as professional skills. The project descriptions are clear, indicating good written communication. The academic projects demonstrate an ability to work on complex problems and potentially collaborate, though direct evidence of teamwork or stress handling is not explicitly detailed in the provided data.