PRAGYA AGARWAL
@pragyaagarwal
Cloud platform and full-stack engineer building AI/ML infrastructure.
What I'm looking for
I’m a Full-Stack / Cloud Platform Engineer with 5+ years building production-grade distributed systems, cloud APIs, and high-performance UIs for AI/ML infrastructure. I led platform engineering for HPE’s $1B GPU Cloud Service, delivering real-time Kubernetes workload observability and cluster lifecycle management to 5 Fortune 500 customers.
I’ve built React/D3.js dashboards with 10K+ live infrastructure metrics per view, Django REST APIs for GPU cluster lifecycle management, and Java/Spring Boot microservices for globally distributed control-plane flows. I focus on measurable quality—optimizing UI latency by ~30%, adding 100+ Tavern API tests in CI/CD, and shipping accessible, reusable React components.
Experience
Work history, roles, and key accomplishments
Architected a multi-tenant cloud observability UI for HPE’s GPU Cloud Service, enabling Kubernetes-based AI/ML workload monitoring and management for 5 Fortune 500 customers. Built Django REST APIs and React + D3.js dashboards for real-time cluster lifecycle visibility and improved UI performance.
Research Intern – Software Security
University of Texas at Arlington
Jul 2023 - Nov 2023 (4 months)
Audited Java libraries for supply-chain vulnerabilities using enterprise dependency graphs and helped standardize hardening guidance across the research group. Developed CVE mitigation strategies for Java-based production vulnerabilities to reduce downstream exposure risk.
Designed Kafka-driven event pipelines for real-time auction processing, improving peak-load throughput by up to 85%. Migrated Cassandra data to MariaDB using Python ETL and delivered full-stack auction features with Java/Spring Boot and Angular/TypeScript.
Built Java/Spring Boot microservices for enterprise insurance platforms at 99.8% uptime, using OAuth2, JWT, and Spring Cloud for cross-service security. Improved throughput with async processing and multithreading, containerized services on AWS with Docker and Kubernetes, and refactored React frontend workflows to reduce errors.
Education
Degrees, certifications, and relevant coursework
University of Texas at Arlington
Master of Science, Computer Science
2021 - 2023
Grade: GPA 3.8 / 4.0
Completed a Master of Science in Computer Science with a GPA of 3.8/4.0 from 2021 to 2023.
Uttar Pradesh Technical University
Bachelor of Technology, Computer Science
2013 - 2017
Completed a Bachelor of Technology in Computer Science from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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