Ravi Nallakukkala
Experimentation | SoFi | Stanford LEAD
- Role
- Staff Software Engineer at SoFi
- Location
- Princeton, NJ, US
- LinkedIn followers
- 500 followers
Experience
Staff Software Engineer
Nov 2024 — Present
Leading the architecture and evolution of SoFi\'s centralized experimentation platform, enabling data-driven product decisions through A/B testing and feature flags at scale. The platform processes over 2 billion requests daily across web and mobile applications. Key Impact- Architected high-throughput distributed system handling 2B+ daily requests with sub-millisecond latency, leveraging multi-layered caching and event streaming to downstream analytics systems - Led zero-downtime Optimizely platform upgrade with automated SDK migration and data transformation, designing comprehensive test automation framework validating 1M+ feature flag and audience targeting combinations - Built comprehensive observability infrastructure with Datadog monitoring, Opsgenie alerting, and SLI/SLO tracking, ensuring 99.9%+ platform reliability and rapid incident response - Established resilient Kafka-based event pipeline providing real-time experimentation insights to data science and product teams, with backward compatibility guarantees across multiple client environmentsLeveraging AI-assisted development tools to accelerate delivery velocity and code quality across the team.Tech Stack: Spring Boot, PostgreSQL, Redis, Kafka, Optimizely, KubernetesPreviously: Staff Machine Learning Engineer - Built SoFi ML Platform
Education
The University of Texas at Austin
Master of Science - MS, Artificial Intelligence
2024 — 2025
Stanford University Graduate School of Business
Other, Stanford LEAD Professional Certificate
Jawaharlal Nehru Technological University
Bachelor of Technology, Computer Science
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