With 11+ years of deep technical experience, I specialize in backend development and delivering high-performance, secure, and scalable backend systems. My career spans critical roles in product-based organizations, where I’ve consistently led the design and execution of complex distributed systems. Currently in Adobe working in GenAI and Agentic AI systems. Previously at Pure Storage, I’ve designed and implemented high-performance, reliable event processing systems for NFS and S3 Protocols. Developed time-series in-memory cache, build syslog-ng and kakfa pipelines to forward audit events to external monitoring tools. At VMware, contributed to Concord, a scalable, trusted, fault-tolerant distributed ledger. I designed and implemented db-snapshot feature, allowing the most recent snapshot of rocks-db database to restore faulty replicas within the system, enabling backups during non-maintenance windows. I’ve also contributed across domains like Automotive and IoT. Additionally, I am an open-source contributor, contributing to open-source projects. 💼 Technical Focus Areas: 1. Expertise in Application, Systems, and SDK's development. 2. Proficient in building scalable, high-performance distributed scale-out systems in production-grade environments. 3. Skilled in systems programming, multi-threading, STL, OS internals, and performance optimization. 4. Strong problem-solving skills with passion for learning new technologies 5. Microservices Architecture, C++, Python, Shell, Docker, Syslog-ng and Kafka I’m passionate about leading engineering teams toward technical excellence, mentoring developers, and delivering products that are resilient, secure, and enterprise-ready.