AYESHA ZAKIR AHMED

Artificial Intelligence Engineer | Machine Learning Specialist

Bangalore, IN.

About

Highly motivated Artificial Intelligence enthusiast with a robust foundation in Machine Learning, Computer Vision, and Natural Language Processing, demonstrated through impactful projects achieving up to 95% accuracy in real-time object tracking and 25% efficiency gains in database operations. Eager to leverage expertise in deep learning, generative AI, and advanced analytics to develop innovative, high-impact technological solutions and drive significant advancements in target roles within dynamic tech environments.

Work

HochTech Solutions

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Artificial Intelligence Intern

Mysore, Karnataka, India

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Summary

As an Artificial Intelligence Intern, collaborated with the AI development team to research, understand, and implement real-time object tracking technologies for a key project.

Highlights

Achieved 95% detection accuracy on real-time object tracking tasks by implementing YOLO v5, significantly enhancing system performance.

Conducted comprehensive research into existing real-time object tracking technologies and methodologies, informing strategic project development.

Collaborated effectively with the AI development team to translate complex project requirements into actionable technical objectives.

Tsalla Aerospace, IISc Bengaluru

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Computer Vision Intern

Bengaluru, Karnataka, India

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Summary

As a Computer Vision Intern, engineered a deep learning pipeline for object detection in UAV imagery, optimizing real-time target recognition and tracking for defense-grade autonomous aerial surveillance.

Highlights

Engineered a deep learning-based computer vision pipeline for object detection in UAV imagery, optimizing real-time target recognition and tracking for autonomous aerial surveillance in defense-grade environments.

Implemented 3D scene reconstruction using data from a Time-of-Flight (ToF) sensor to significantly enhance spatial perception and mapping capabilities.

Education

Manipal Institute of Technology

Bangalore, Karnataka, India
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Bachelor of Technology Artificial Intelligence Grade:

Courses

Machine Learning

Big Data Analytics

Neural Networks and Deep Learning

Computer Vision

Database Systems

AI in Medicine

Reinforcement Learning

Social Network Analysis

Human Computer Interface

Skills

Programming Languages

Python, C++, SQL, Advanced Excel.

Machine Learning Frameworks

TensorFlow, PyTorch, Scikit-learn, Keras.

Data Manipulation

Pandas, NumPy, SciPy.

Deep Learning

Neural Networks, YOLO.

Computer Vision & 3D Tools

OpenCV, Qt, MeshLab, Open3D.

Generative AI & LLMs

GANs, Diffusion Models, Stable Diffusion, LLMs (GPT, LLaMA, etc.), RAG pipelines.

Projects

AnimatedDiff Framework Extension

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Summary

Successfully implemented and extended the 'Animatediff' framework to enable personalized animated video creation from text prompts.

Chat Analysis Tool for Conversational Insights

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Summary

Developed a Python-based chat analysis tool utilizing Natural Language Processing to extract key insights from conversational data.

AI Custom Drawings Classifier

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Summary

Developed a robust machine learning classifier using neural networks to accurately recognize and differentiate diverse custom drawings.

Integrated DNN Model for Cervical Cancer Prediction

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Summary

Developed and evaluated a deep neural network (DNN) model for predicting cervical cancer risk factors.

Online Shopping System

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Summary

Designed a user-friendly online shopping platform with integrated features to enhance user engagement and optimize product management.