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
|

Artificial Intelligence Intern

Mysore, Karnataka, India

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

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

Bachelor of Technology

Artificial Intelligence

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

Summary

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

Chat Analysis Tool for Conversational Insights

Summary

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

AI Custom Drawings Classifier

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

Summary

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

Online Shopping System

Summary

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