Headline

SW Engineer @VISA

About

Driven by a curiosity for high-performance systems and resilient backend architecture, I focus on building technology that handles scale reliably and seamlessly. Over the past two years, I've specialized in backend engineering—turning complex requirements into clean, event-driven microservices and workflow orchestration pipelines. Through my work across enterprise financial platforms and AI research applications, I've learned that great software comes down to thoughtful system design and proactive performance optimization. A few highlights from my journey: * ** Engineered high-throughput data pipelines:** Built event-driven ETL systems using Spring Boot, Apache Kafka, and Temporal workflows with idempotent, exactly-once processing guarantees. * ** Optimized core infrastructure:** Reduced bulk database persistence latencies by 90% via Hibernate batching strategies and eliminated system bottlenecks through dynamic two-tier caching (Caffeine + PostgreSQL). * ** Integrated Generative AI:** Accelerated RAG application performance, cutting LLM processing latencies by 40% using parallel prompt execution and custom chunking. * ** Streamlined delivery:** Leveraged AI-driven terminal agents (Claude Code and Cline) to reduce repetitive coding tasks, allowing me to focus more energy on architecture, system failure modes, and system design. Currently, I'm exploring advanced distributed system patterns, cloud infrastructure, and deeper integrations between backend microservices and Generative AI frameworks. Outside of writing code, I enjoy breaking down technical concepts and discussing system design solutions. Always open to connecting around distributed systems, backend performance, or GenAI integrations—reach out at gururaj.deepu123@gmail.com!

Location

Bengaluru

AI stack

claude code

claude

cursor

gemini

ChatGPT

Work experience

SWE at Visa, Aug 2025 - Present · 1 yr 3 mos, Bengaluru, Software Developer | Visa — Integrated Risk Platform Aug 2025 – Present | Bengaluru, India -Architected event-driven ETL pipelines and Flowable BPMN/DMN workflow services for the Integrated Risk Platform, automating high-risk transaction routing with dual-approval (4-eyes) regulatory controls. -Accelerated feature delivery by 40% by leveraging AI-assisted development tools (Claude Code, Cline) for rapid scaffolding and refactoring, enabling greater focus on architecture, failure-mode analysis, and core system design. -Reduced bulk persistence latency by 90% using Hibernate StatelessSession with optimized batching, and engineered a two-tier Caffeine/PostgreSQL caching strategy enabling zero-downtime rule updates. -Engineered parallel fan-out/fan-in Temporal workflows with Kafka Dead Letter Topics (DLTs) and exponential backoff retries, improving fault tolerance and ensuring idempotent processing across high-throughput data pipelines.

Software Developer 1 at UST, Sep 2024 - Aug 2025 · 1 yr, Trivandrum, Software Developer | UST Sep 2024 – Aug 2025 | Trivandrum, India -Built a full-stack RAG application using LangChain, Python, Flask, and React.js, enabling context-aware information retrieval and AI-driven project planning. -Reduced LLM response latency by 40% by implementing parallel prompt execution and optimizing backend processing workflows. -Improved retrieval accuracy by 20% through custom document chunking and preprocessing strategies, enhancing the relevance of context supplied to LLMs. -Developed interactive React.js interfaces for GenAI features, reducing project documentation effort by 20% through context-aware user story and effort-estimation generation. -Achieved 95% test coverage across core application components through automated unit and integration testing, improving application reliability and deployment confidence.

Education

Bachelor of Engineering - BE, Computer Science, RajaRajesheshwari College of Engineering, BANGALORE

Public links

leetcode: https://leetcode.com/Gururaj_R