Headline

Sr. Software Engineer @ Samsung R&D | Backend & Distributed Systems | Java | Spring Boot | AWS | Kubernetes

About

I build backend platforms that scale, ship reliably, and make engineering teams faster. I’m a Senior Software Engineer at Samsung R&D Institute, Bengaluru, with hands-on experience across backend engineering, distributed systems, DevOps, cloud infrastructure, CI/CD automation, observability, and data platforms. My work sits at the intersection of product engineering and platform reliability. I’ve built and optimized systems that process 80M+ audio samples, migrated 12 critical Spring Boot microservices from EC2 to AWS EKS, enabled zero-downtime deployments, reduced rollback time by 70%, improved API latency by 30%, and helped platforms reliably support 100K+ concurrent users. Technically, I specialize in: Backend Engineering: Java, Spring Boot, REST APIs, gRPC, microservices, Kafka, Redis Cloud & DevOps: AWS, EKS, Kubernetes, Docker, Helm, ArgoCD, GitHub Actions, GitOps Data & Storage: PostgreSQL, MySQL, Elasticsearch, Redis, schema optimization, GIN indexing Observability: Prometheus, Grafana, Loki, Tempo, Mimir, alerting, distributed tracing Engineering Ownership: architecture, deployment automation, performance optimization, production reliability What differentiates me is that I don’t just write services, I take ownership of the full engineering lifecycle: architecture, implementation, testing, deployment, monitoring, and reliability. I enjoy solving ambiguous backend problems, simplifying complex systems, and building tooling that improves developer velocity. I’m currently targeting SDE-2/Senior Software Engineer/Backend Engineer/Platform Engineer roles where I can build scalable backend systems, own high-impact end-to-end services, and contribute to engineering cultures that value ownership, craftsmanship, and reliability.

Location

Bengaluru

AI stack

claude code

codex

gemini

Cline

Work experience

Senior Software Engineer at Samsung R&D Institute India - Bangalore, Mar 2023 - Present · 3 yrs 8 mos, Project: Bixby ASR — Automatic Speech Recognition – Redesigned the ASR inference serving architecture by integrating NVIDIA Triton with the Java-based ASR Engine and evaluating in-process and vLLM sidecar deployments, achieving up to 3x faster batch inference, 5% lower streaming latency, and 2x concurrent request capacity. – Integrated an internally trained SLLM into the production serving architecture, improving time-to-first-token (TTFT) by 8% while maintaining the existing Java-based inference workflow. – Architected a high-scale metadata platform for 80M+ audio samples, designing optimized PostgreSQL schemas and GIN indexes with Elasticsearch integration to enable efficient dataset discovery, filtering, and retrieval. – Led ASR model deployment and lifecycle management on AWS EKS, driving improvements across model release pipelines, deployment automation, and operational reliability for production ML workloads. – Automated model release workflows using Python, Shell, CI/CD, and GitOps, reducing manual deployment and release effort by 50% through reproducible, version-controlled deployments.

Software Engineer at Samsung R&D Institute India - Bangalore, Mar 2023 - Jan 2025 · 1 yr 11 mos, Project: Confidential B2C & B2B Communication Platform – Led the end-to-end migration of 12 Spring Boot microservices from AWS EC2 to EKS, containerizing services with Docker and Helm and implementing zero-downtime deployments, reducing deployment time to 15 minutes. – Designed and developed scalable Spring Boot REST APIs supporting real-time 1:1 and group communication workflows, integrating backend services with React/Angular frontends and collaborating across application and infrastructure layers. – Reduced backend API latency by 30% for 100K+ concurrent users by optimizing latency-critical workflows with Kafka for asynchronous event processing and Redis for distributed caching. – Built production CI/CD infrastructure using GitHub Actions and ArgoCD, enabling automated Kubernetes rollouts and reducing rollback time by 70% through declarative GitOps workflows. – Designed and deployed a production observability platform using Prometheus, Grafana, Loki, Tempo, and Mimir, processing 1M+ weekly logs and metrics and reducing issue identification time by 50%. – Improved automated test reliability and environment isolation by implementing post-test cleanup mechanisms and object-oriented test design patterns, reducing environment setup time by 20% and test flakiness by 15%.

Software Developer at HashedIn by Deloitte, Sep 2022 - Feb 2023 · 6 mos, Bengaluru, Karnataka, India, PROJECT: AR-based Food Menu Application - Architected the frontend of an AR-based food menu application using React Native, building reusable UI components and integrating them with Unity to deliver an interactive real-time 3D user experience. Integrated frontend workflows with AWS CloudFront and a MySQL backend to optimize 3D asset delivery, improve content availability, and support faster rendering of AR experiences. - Collaborated across frontend, backend, and Unity development workflows to improve integration quality and reduce friction between UI and 3D asset pipelines.

Software Developer at HashedIn by Deloitte, Jan 2022 - Aug 2022 · 8 mos, Bengaluru, Karnataka, India, - Contributed to software development initiatives across application development, backend integration, and product delivery while building strong fundamentals in scalable engineering practices. - Developed production-oriented engineering skills across API integration, database-backed applications, debugging, version control, and cross-functional collaboration.

Education

BTech - Bachelor of Technology, Computer Science, Bhagwan Parshuram Institute of Technology