About
I'm a software engineer who enjoys taking messy, high-scale operational problems and turning them into reliable, well-engineered systems. At Cisco, I build backend automation services and internal developer tools in Python and REST APIs that reduce manual engineering effort across distributed, multi-region environments — including an AI-powered troubleshooting assistant that uses LLM workflows, AI agents, and RAG pipelines to help platform teams triage and resolve incidents faster. I care about systems that hold up under real production load: I've worked on CI/CD pipelines (Jenkins, Docker), observability stacks (Splunk, Grafana), and event-driven architectures (Kafka, Redis) with fault-tolerant, at-least-once message processing. Outside of work, I built IncidentFlow, a distributed incident orchestration platform exploring Kafka-based event streaming, consumer groups, dead-letter queues, and horizontal scaling. Comfortable across the stack — from Python/FastAPI backends and API design to Kubernetes and infrastructure automation — and always looking for the next hard, interesting problem. Open to Software Engineer / Backend Engineer roles where I can build systems at scale. B.Tech in Computer Science, BMS College of Engineering (CGPA 9.2/10). Let's connect.
Work experience
Software Engineer 2 at Cisco, May 2026 - Present · 7 mos, Bangalore
Software Engineer at Cisco, Aug 2024 - May 2026 · 1 yr 10 mos, Bengaluru, Karnataka, India
Technical Intern at Cisco, Feb 2024 - Jun 2024 · 5 mos, Hybrid
Summer Internship at Samsung R&D Institute India, Jun 2023 - Aug 2023 · 3 mos, Bengaluru, Karnataka, India · Hybrid
Project Intern at Samsung R&D Institute India, Mar 2023 - Aug 2023 · 6 mos, Bengaluru, Karnataka, India · Hybrid
User Experience Researcher at VoyagerX, Jul 2022 - Jul 2022 · 1 mo, Bengaluru, Karnataka, India
Project Intern at itie Knowledge Solutions, Bangalore, Mar 2022 - May 2023 · 1 yr 3 mos, Bengaluru, Karnataka, India
