I am a Software Engineer passionate about Distributed Systems, Backend Engineering, and AI-powered applications. I specialize in designing scalable, event-driven architectures and building high-performance microservices that operate reliably in production at scale.

Currently, I work at Bridgestone, where I design and deliver cloud-native systems on AWS, handling millions of asynchronous events with strong guarantees around reliability, observability, and performance. My work spans across Kafka-based streaming systems, secure API platforms, and AI-driven automation frameworks.

I have hands-on experience building LLM-powered systems in production, including RAG-based assistants, multi-agent workflows, and intelligent incident response systems that reduce operational overhead and improve developer productivity. I enjoy exploring the intersection of AI and backend systems, especially how LLMs can augment real-world engineering workflows.

Previously at Sprinklr, I built data-intensive platforms and scalable APIs, working across backend, cloud (AWS/AKS), and DevOps. I focused on reliable system design, efficient data processing, CI/CD pipelines, and observability, while contributing to large-scale data systems and production-ready architectures.

I thrive in environments where I can take systems from 0 to 1, own them end-to-end, and continuously improve them in production. I’m particularly interested in building resilient systems, optimizing performance at scale, and leveraging AI to solve complex engineering problems.