I am a Data Engineer and Systems Architect, deeply passionate about building scalable, high-performance infrastructure capable of processing massive volumes of data. As a Computer Science undergraduate at LPU, my focus revolves around distributed systems, realtime ETL, and state-aware backend architectures.

My expertise is anchored in modern data stacks — from designing robust data pipelines with Apache Spark, Python, and SQL to orchestrating containerized deployments using Docker and AWS. I thrive on solving complex engineering bottlenecks and ensuring seamless data flow across enterprise architectures.

A key highlight of my work is SAGUS, a continuous-time backend architecture that reimagines scalable AI by integrating Recurrent Liquid Memory and Graph Unified Structures. Alongside backend innovation, I am a three-time Oracle Certified Professional in Data Platform, Cloud, and AI, demonstrating my commitment to enterprise-grade infrastructure.