Headline

SDE III | Distributed Systems | Metadata Platforms | Graph Databases | Platform Engineering | AI-Driven System | Immediate Joiner

About

I'm a Software Development Engineer III focused on building distributed systems, metadata platforms, graph-powered architectures, and AI-driven products at scale. Over the last 7+ years, I've worked across Gaming, E-commerce, ERP, and HR Tech, designing and delivering high-performance backend systems that power critical business workflows and customer experiences. My expertise spans Java (8–21), distributed systems, event-driven architectures, cloud-native platforms, data engineering, and platform development. At Phenom, I worked on enterprise-scale metadata and ontology platforms, building systems that serve as a single source of truth across multiple product domains. My work included designing multi-tenant metadata services, graph-based data architectures, Kubernetes-native control planes, distributed data pipelines using Apache Spark and AWS EMR, and AI-driven workflows for skill standardization and taxonomy management. I also contributed to high-availability graph infrastructure and data access platforms that abstract complex graph and relational storage systems for enterprise-wide consumption. Previously at Electronic Arts (EA), I helped modernize large-scale gaming platforms supporting millions of FIFA and Madden players. I built serverless AWS solutions, fraud detection workflows, entitlement automation systems, and high-throughput event-processing platforms. Some of my key contributions included reducing infrastructure costs by 20% through Kafka Stream optimizations and accelerating large-scale batch processing workloads from 5 hours to 34 minutes through distributed processing strategies. Throughout my career, I've designed and built systems using Java, Spring Boot, Quarkus, Kafka, Apache Spark, PostgreSQL, Graph Databases, AWS, Docker, Kubernetes, OpenSearch, Redis, gRPC, and cloud-native technologies. I enjoy solving complex scalability challenges, designing resilient platforms, and transforming business problems into reliable engineering solutions. My current interests include Distributed Systems, Metadata Platforms, Graph Databases, AI-Driven Systems, Platform Engineering, and Large-Scale Data Architectures. If you're interested in discussing platform engineering, distributed systems, graph technologies, AI applications, or scalable backend architectures, I'd be happy to connect.

Location

Bengaluru

AI stack

antigravity

claude code

hugging face

kiro

Guardrails AI

Wispr Flow

Work experience

Product Development Engineer 3 at Phenom, Dec 2025 - Present · 11 mos, Hyderabad, • Designed and implemented enterprise-scale metadata platforms serving as a centralized source of truth across distributed product domains. • Architected and developed Kubernetes-native control plane services using Quarkus, PostgreSQL, and etcd for schema management, tenant isolation, and distributed coordination. • Built multi-tenant distributed data ingestion pipelines leveraging Apache Spark and AWS EMR to process and synchronize large-scale enterprise datasets. • Developed high-availability graph data solutions and data access abstractions integrating graph and relational databases. • Designed AI-driven workflows for skill generation, standardization, and taxonomy mapping across enterprise organizational structures. • Collaborated with cross-functional engineering and product teams to deliver scalable, fault-tolerant, and cloud-native platform capabilities.

Software Engineer at Electronic Arts / P99Soft, Nov 2024 - Nov 2025 · 1 yr 1 mo, Hyderabad, Migrated legacy systems for game integration using Java 21, Gradle, and AWS. Developed AWS Lambda services for granting bot access, fraud scoring, and detection workflows. Reduced infrastructure costs by 20% by optimizing Kafka Streams query filtering. Migrated backend search from Elasticsearch to OpenSearch, updating application integration and validating search compatibility during the transition. Implemented VIP and loyalty processing for FIFA and Madden, reducing execution time from ~5 hours to 34 minutes (88.7%) using parallel EC2 execution. Contributed to LiveX-Digex and NexGen by building Contentful CMS integrations and BFF APIs. Deployed and managed backend services using Docker and Kubernetes for scalable production deployments. Integrated logging and metrics monitoring with CloudWatch and collaborated with Salesforce for entitlement synchronization.

Lead Software Engineer at Randstad Digital, Jul 2024 - Nov 2024 · 5 mos, Developed Spring Batch pipelines for data migration from relational and cloud-based sources. Optimized fault recovery and multithreaded execution, reducing ETL downtime by 35%.

Lead Consultant at ITC Infotech, Aug 2021 - Jun 2024 · 2 yrs 11 mos, Bengaluru, Karnataka, India

Associate Consultant at ITC Infotech, Jun 2019 - Jul 2021 · 2 yrs 2 mos

Education

Bachelor of Engineering - BE, Information Technology, Jadavpur University