// Backend Engineer · Bengaluru, India
I build distributed systems, observability pipelines, and cloud-native infrastructure at Oracle — with a consistent habit of going a layer deeper than strictly necessary.
Senior backend engineer with 6+ years across distributed systems, cloud-native platforms, and enterprise automation. Currently Application Engineer 3 (Senior MTS) at Oracle, Bengaluru.
At Oracle, I work on two distinct problem spaces: autonomous AI agent infrastructure using LLMs with internal APIs for multi-step reasoning, and high-throughput pricing platforms built around a Rete algorithm-based graph evaluation engine.
Before Oracle, at Wipro I built fault-tolerant automation systems, cloud migrations on Azure, and vulnerability management platforms for global electrification clients. My automation framework processed 20,000+ production tickets with an MTTR under 2 minutes.
Executive PGDM from Symbiosis International University · B.E. Computer Science from UEM Kolkata · Applied Data Science programme at IIT Delhi.
Designing enterprise-scale backend systems across AI agent infrastructure and pricing platforms. Built Fusion AI agents integrating LLMs with internal APIs for multi-step reasoning and tool orchestration. Implemented a Rete algorithm-based graph evaluation engine for pricing, materially reducing decision latency. Led PL/SQL → Java 21 + Helidon MP migration adopting Virtual Threads (Project Loom). Optimised critical APIs by ~50% via SQLHC analysis, contributing to 95% customer retention in production.
Backend engineering, cloud migration, and automation for global electrification and power grid clients. Built a hybrid mobile platform reaching 1,000+ enterprise users; resolved an auth failure saving the client $80K/year. Fault-tolerant ServiceNow automation processed 20,000+ tickets with MTTR under 2 minutes. Identified Azure migration opportunities worth $30K/year. Delivered Power BI + Snowflake reporting pipelines for operational decision-making.
Owned end-to-end release delivery, CI/CD pipelines (Jenkins + Docker), and server patching without SLA breaches. Built ServiceNow-based automation workflows in .NET and Java/Spring Boot. Designated Wipro HOLMES Automation SPOC — drove intelligent automation adoption across the engagement. Automated SQL Server monitoring, eliminating manual DBA interventions on mission-critical databases.
Built a real-time device management portal with automated production line tracking using Angular, BLE 4.0, and MQTT. Developed a factory machine performance monitoring system processing high-volume sensor data with automated fault control.
Full-stack observability — logs, metrics, and distributed traces — using OpenTelemetry and the Grafana LGTM stack (Loki, Grafana, Tempo, Mimir) on Spring Boot 4.0. Production-grade reference for teams setting up end-to-end observability pipelines.
Dynamic pricing engine demonstrating Istio traffic management, circuit breaking via Resilience4j, and live Grafana dashboards — all on Kubernetes. Built to explore the same patterns used in Oracle's pricing infrastructure.
Change-data-capture pipeline from PostgreSQL via Debezium, propagating events into Redis through a Spring Boot consumer. Demonstrates event-driven data sync patterns for distributed systems without polling or dual-writes.
Complete local dev environment for Apache Flink + Iceberg + Hive Metastore with MinIO as S3-compatible object storage. Eliminates dependency hell — the write-up on Medium has 1 response and active engagement from the stream processing community.
Blockchain-verified global freight marketplace — Ethereum smart contracts for payment verification, real-time crypto tracking, multi-modal logistics management. Angular frontend with WebSocket streaming + Node.js microservices backend.
Vector search with PostgreSQL 16 + pgvector, ML race predictions via scikit-learn written back to the DB, and graph queries as recursive CTEs. A learning project that covers every modern PostgreSQL feature — migrated from Oracle 23ai after hitting resource limits.
Interested in distributed systems, observability, or cloud-native engineering? I'm open to senior backend roles and engineering conversations.