About Me
Passionate Computer Science Graduate
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.
Master's in Computer Science
Arizona State University
Microsoft Certified
AZ-900, AI-900, DP-900, PL-900
Scalable Systems
Backend & Cloud Architecture
AI & Machine Learning
Real-world Problem Solving
Academic Milestones
Prestigious credentials forged through dedication and excellence
Master's in Computer Science
Arizona State University
Bachelor of Technology in Information and Communication Technology
Pandit Deendayal Energy University
Technical Skills
An interconnected network of technologies and expertise
Featured Projects
Showcasing innovative solutions that demonstrate technical expertise and problem-solving capabilities
Kobu – Modular LMS Backend & AI Services
A scalable Learning Management System backend with AI-powered tutoring, auto-grading, and feedback workflows.
Interactive Data Analytics Visualizations
Interactive D3.js dashboard for resident economic trends
Elastic Face Recognition on AWS
Scalable IaaS face recognition with EC2 and S3
Scalable Video Analysis with AWS Lambda
Serverless pipeline for automatic video processing
Professional Experience
A journey of growth, innovation, and impactful contributions across diverse technology domains
Software Engineer
Worked on ANTIK OS, an AI-integrated Linux-based operating system, building privacy-first GenAI features, low-latency gesture runtimes, and reliable distributed execution frameworks for real-time, on-device inference.
Software Engineer I
Built and operated large-scale data ingestion and processing pipelines, focusing on reliable third-party ingestion, schema-safe data modeling, and production-grade analytics workflows for business reporting and ML use cases.
Publications
Contributing to the advancement of technology through research and innovation
An Effective EEG Signal-Based Sleep Staging System using Machine Learning Techniques
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.
Research Interests
Machine Learning
Advanced ML algorithms for real-world applications
Signal Processing
EEG and biomedical signal analysis techniques
Healthcare Technology
AI-driven solutions for medical diagnostics
Let's Connect
Ready to collaborate on innovative projects? Let's discuss how we can build the future together.
Get In Touch
9divyapatel@gmail.com
Phone
(602) 576-7644
linkedin.com/in/divya-9-patel/
Location
San Francisco, California
Quick Facts
- Available for full-time opportunities
- Open to remote or on-site work
- Passionate about AI, backend systems and cloud technologies