Hi, I'm Rangavinay
Specializing in scalable AI agent systems, LLM-powered assistants, and distributed cloud architectures across AWS and Azure.
Transforming Ideas into Intelligent Systems
AI & Cloud Engineer specializing in scalable AI agent systems, LLM-powered Copilot-style assistants, distributed backend architectures, and autonomous DevOps/SRE automation across AWS and Azure.
With expertise spanning AI/ML platforms, cloud infrastructure, and backend engineering, I build enterprise-grade solutions that scale. My published research in IEEE demonstrates my commitment to advancing the field of artificial intelligence.
Location
Seattle, WA
Education
Master's in Artificial Intelligence
Rangavinay Teja Royal Jagga
AI Research Scientist & Cloud Platform Engineer
🤖 AI/ML Expert
☁️ Cloud Architect
Skills & Technologies
Comprehensive expertise across AI/ML and cloud engineering
AI & Machine Learning
12 skills
Domains & Industries
Cross-industry expertise delivering impactful solutions
Quick Service Restaurant
Payment systems, customer analytics, ML-driven optimization, and platform management across the ecosystem
Telecommunications
AI-powered DevOps automation and infrastructure intelligence
Automobile
Cloud-native deployments and CI/CD automation
Digital Marketing
SEO optimization and analytics-driven strategies
Featured Case Studies
Deep dives into the systems and solutions I've built
Publications & Research
Contributing to the advancement of AI through peer-reviewed research
Augmenting Creative Problem-Solving: A Strategic Unification of Machine Intelligence and Human-Centric Ideation
View on IEEE XploreSubtle Data Contamination in Visual AI: Covert Model Backdoors via Resampling Exploits
View on IEEE XploreRobotic Tactile-Vision Integration for Interactive Object Disentanglement
View on IEEE XploreA Discounted Future Reward Framework for Intelligent Loyalty Optimization using CLTV-Aware Segmentation and Churn Prediction
View on IEEE XploreIEEE Conference Reviewer (2026)
Global Symposium on Emerging and Communication Technologies (GSEACT 2026)
Contemporary Computing Innovations Conference (CCIC 2026)
Inventive Work in AI & Cloud Systems
Selected filed patent applications, presented at title level while preserving confidential implementation details during pendency.
AI Loyalty Optimization
Discounted Future Reward Framework for Budget-Constrained, CLTV-Aware Loyalty Optimization with Churn-Informed Segmentation
Cloud Infrastructure Intelligence
Unified Cloud Infrastructure Intelligence System with Credential-Opaque Orchestration and Immutable Temporal Snapshotting
Privacy-Preserving LLM Inference
Systems and Methods for Privacy-Preserving Inference in Large Language Models Through Ephemeral Semantic Shadow Transformation
My Book: The First 0.1% Build from Zero
By Rangavinay Teja Royal Jagga
A practical author spotlight on building with clarity from the earliest idea stage. The book extends the same portfolio theme: turning ambition, systems thinking, and disciplined execution into something real.
Let's Build Something Amazing Together
Whether you're looking to build AI-powered platforms, scale your cloud infrastructure, or discuss innovative solutions — I'd love to hear from you.