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Jugal Datha Rayala
Mid-level Full-Stack Developer specializing in AI-powered cloud-native applications
MicrosoftWebster UniversityRemote, USA5 Years ExperienceMid LevelWorks On-Site
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About
Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.
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Owned and delivered an AI recommendation feature end-to-end (backend, React UI, cloud deployment, monitoring)
Rapid iteration via small initial release and incremental improvements driven by user behavior and stakeholder feedback
Performance/scalability troubleshooting using monitoring/logs; reduced latency with query optimization, caching, and async processing
Architected TypeScript/React front end with strict typing to improve scalability and reduce runtime errors
Designed modular microservices with clear API contracts; emphasized reliability with idempotency and resilience patterns (retries/timeouts/circuit breakers)
Built and drove adoption of an internal operational monitoring dashboard by integrating into on-call workflows
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Experience
Full Stack DeveloperMicrosoft · Jan 2024 – Presentcontract
Software DeveloperTata Consultancy Services · Jan 2020 – Jul 2022
Education
Webster Universitymaster, Information Technology Management (2024)
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
Remote, USA4y exp
NetflixUniversity of Dayton
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
Remote, USA4y exp
StripeSouthern Arkansas University
“Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.”