I am a software engineer with experience across Kubernetes, automation, backend systems, and low-level operating system work.
Over time I have been drawn to projects that combine careful debugging, good abstractions, and real-world reliability,
whether that means improving team workflows, shipping internal tools, or understanding what happens beneath the surface.
Associate Software Engineer
- Standardized deployment patterns using Helm and GitOps workflows, reducing release failures.
- Developed ingress, service mesh, secrets management, and observability services used by 100+ engineering teams.
- Integrated hybrid-cloud networking between on-prem Kubernetes clusters and public cloud environments, enabling seamless workload portability.
- Supported Black Friday and Cyber Week readiness exercises, ensuring platform scalability for traffic spikes exceeding 4x baseline demand.
Graduate Software Trainee
- Authored operational runbooks and automation scripts that reduced average incident resolution time by 25%.
- Developed Terraform modules and deployment templates for Kubernetes-based services, reducing infrastructure provisioning time by 3 hours.
- Implemented monitoring dashboards using Prometheus and Grafana covering 40+ microservices, reducing incident triage time by 35%.
Google Summer of Code Contributor
- Debugged C code in NetBSD kernel space to improve system reliability and low-level functionality.
- Built automated test environments using Bash scripting and virtualization for repeatable systems validation.
- Developed ATF-based test cases to strengthen operating system test coverage and regression detection.
- Built an MCP-compliant, email-triggered incident triage agent exposing ServiceNow incident history and CMDB resources to LLM tools.
- Automated assignment-group recommendation and priority classification via LLMs with least-privilege ServiceNow API access.
- Evaluated the system on historical incidents, achieving 35% faster triage and 85% assignment accuracy with end-to-end latency under 2 seconds.
- Developed multi-tenant ingestion pipelines for UPI, IMPS, and NEFT transaction processing with schema normalization.
- Designed scalable distributed task queues with rate limiting, autoscaling workers, and asynchronous reconciliation workflows.
- Deployed on Docker and Kubernetes, sustaining 200k+ rows per minute with CI pipelines implemented via GitHub Actions.
View repository
- Built a serverless monitoring system for scheduled endpoint latency and availability checks every 5 minutes.
- Designed reusable Terraform modules for Lambda, DynamoDB, API Gateway, and scheduler components across dev and prod environments.
- Applied least-privilege IAM and on-demand billing for a secure, cost-aware reliability workflow with historical uptime reporting.
- Analyzed Linux systems using instruction tracing, syscall analysis, and performance tooling to surface CPU hotspots and scheduling overhead.
- Traced kernel-user space interactions to identify blocking syscalls, heavy I/O paths, memory pressure, and queue-depth saturation.
- Evaluated memory correctness and allocation efficiency to detect leaks, invalid accesses, and heap utilization issues.