Available to hire
I’m Varun Muriki, a software engineer focused on building scalable, high-performance backend systems. I design distributed architectures, microservices, and cloud-native applications using Python, Java, FastAPI, Spring Boot, and Kubernetes. I enjoy solving complex engineering problems and delivering reliable, high-quality software that scales with business needs. In collaborative teams, I leverage AWS and OCI, Kafka, CI/CD pipelines, and ML integration to drive automation, observability, and better customer experiences.
Skills
Language
English
Fluent
Work Experience
Software Engineer at Uber
February 1, 2025 - PresentDeveloped high-throughput backend services in Python and FastAPI, handling 30K+ RPS with 99.9% uptime and sub-100ms latency for ride-matching workloads at scale. Optimized real-time pricing computations using Asyncio, Pandas, and NumPy, reducing processing latency by 18% and improving pipeline execution efficiency. Integrated OpenAI and Gemini LLMs into customer support automation via RAG pipelines, cutting manual ticket moderation by 25% and improving resolution time by 20%. Built predictive inference pipelines using XGBoost and TensorFlow, improving ride allocation accuracy by 12% during peak demand surges. Deployed containerized microservices on OCI using Kubernetes (OKE), Terraform, and Kafka-based event-driven architecture, reducing regional response times by 20%. Strengthened observability with Prometheus and Grafana dashboards; built GraphQL APIs consumed by React.js frontends for real-time trip visibility.
Software Engineer at Razorpay
September 1, 2020 - December 1, 2023Designed and scaled transaction processing services using Java, Spring Boot, and RESTful APIs, supporting millions of daily payment requests across multiple payment methods with 99.9% availability. Built customer-facing checkout flows using Node.js and React, improving frontend performance and increasing conversion rates by 6%. Automated CI/CD pipelines using Jenkins and GitHub Actions, increasing deployment frequency by 25% and reducing release cycle time. Reduced high-priority production incidents by 15% through proactive monitoring with AWS CloudWatch, Grafana, and Kibana; improved MTTD across payment services. Implemented fraud detection integrations and A/B experimentation frameworks (Statsig) to optimize authorization flows and reduce false-positive declines. Enforced PCI-DSS compliance across payment flows; wrote unit and integration tests using JUnit 5 and Mockito, maintaining 85%+ code coverage across core services.
Education
Master of Science in Information Technology at The University of Texas at Dallas
January 11, 2030 - June 29, 2026Bachelor of Science in Computer Science at Jawaharlal Nehru Technological University, Hyderabad, India
January 11, 2030 - June 29, 2026Qualifications
Industry Experience
Software & Internet, Financial Services, Professional Services
Skills
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