Raj Shri Guru
Specializing in high-concurrency backend infrastructure and production-grade AI systems. I bridge the gap between complex data workflows and seamless user experiences with a focus on scalability and deterministic performance.
backend_engineer.sh
Engineering Philosophy
I specialize in architecting systems where **reliability meets intelligence**. My approach is rooted in clean architecture, type safety, and a data-first mindset. Whether it's optimizing telemetry ingestion for global security networks or designing deterministic AI agents, I focus on building software that is maintainable, performant, and scales alongside business growth.
Professional Experience
Software Engineering Intern
Radware
- Architecting backend services for real-time security analytics, processing high-volume telemetry with sub-millisecond latency.
- Engineered automated data ingestion pipelines for network security appliances, increasing observability across 100+ global nodes.
- Optimized Databricks clusters and query patterns, achieving a permanent 5% reduction in cloud infrastructure spend while increasing throughput.
- Developed automated log transformation microservices using Python/FastAPI, eliminating manual intervention in 80% of security triage workflows.
Apprentice Software Engineer
Fidelity Investments
- Orchestrated the migration of mission-critical fintech applications from Java 8 to Java 17, reducing startup times by 20% and improving memory efficiency.
- Implemented circuit breaker patterns and enhanced error handling across distributed microservices, resulting in a measurable increase in system uptime.
- Led incident triage and root cause analysis for production outages, maintaining a 99.9% service availability during scheduled on-call rotations.
- Enforced enterprise-grade CI/CD and code quality standards, reducing production-level bugs by approximately 15% through rigorous automated testing.
Featured Projects
Adaptive AI Learning Core
Developed a distributed AI tutoring system that mirrors mentor-level evaluations with 90%+ accuracy. I engineered a dynamic skill graph engine to track student knowledge gaps and optimized LLM context management to handle long-running pedagogical conversations without performance degradation.
Frontdesk AI – Deterministic Booking Agent
Built a production-grade telephony agent capable of handling complex reservation workflows. I designed a custom state machine to ensure zero AI drift during high-stakes bookings and integrated a 4-layer audit engine for regulatory traceability. Optimized for sub-second PSTN response latency.
Backend & Systems
Languages
Generative AI
Google Cloud
Foundational LLM concepts & prompt engineering.
B.E. Electronics
Dayananda Sagar College