As a recent Computer Science graduate from Arizona State University with a Bachelor's in ICT from Pandit Deendayal Energy University, I bring a unique blend of academic excellence and hands-on experience in building innovative technology solutions.
My journey spans from designing scalable backend systems and deploying cloud-native applications to applying machine learning techniques that solve real-world problems. With Microsoft certifications backing my expertise, I'm driven by a results-oriented mindset and a passion for creating reliable, efficient technology.
I thrive on transforming complex challenges into elegant solutions, whether it's optimizing system performance, implementing AI models, or architecting cloud infrastructure that scales seamlessly.
Arizona State University
AZ-900, AI-900, DP-900, PL-900
Backend & Cloud Architecture
Real-world Problem Solving
Prestigious credentials forged through dedication and excellence
Arizona State University
Pandit Deendayal Energy University
An interconnected network of technologies and expertise
Showcasing innovative solutions that demonstrate technical expertise and problem-solving capabilities
Interactive D3.js dashboard for resident economic trends
Scalable IaaS face recognition with EC2 and S3
Serverless pipeline for automatic video processing
A journey of growth, innovation, and impactful contributions across diverse technology domains
Designed and built key system components for an AI-integrated Linux-based operating system, focusing on gesture recognition and modular communication infrastructure.
Spearheaded cutting-edge research in Generative Adversarial Networks, focusing on advancing deep learning architectures and optimization techniques.
Contributed to modern web development projects with focus on responsive design and seamless API integrations.
Developed automated solutions and optimized database systems for enhanced application performance and scalability.
Contributing to the advancement of technology through research and innovation
This research presents an innovative approach to automated sleep staging using EEG signals and advanced machine learning techniques. The system demonstrates significant improvements in accuracy and efficiency for sleep disorder diagnosis and monitoring.
Advanced ML algorithms for real-world applications
EEG and biomedical signal analysis techniques
AI-driven solutions for medical diagnostics
Ready to collaborate on innovative projects? Let's discuss how we can build the future together.
9divyapatel@gmail.com
(602) 576-7644
linkedin.com/in/divya-9-patel/
San Francisco, California