Professional Summary
DevOps and Systems-focused Computer Science engineer with production experience designing CI/CD pipelines,
infrastructure observability, and scalable backend platforms. Proven track record maintaining cloud deployments
across GCP (Compute Engine, Nginx, PM2) and Vercel for live commercial SaaS products. Skilled in Linux systems
administration, Docker, Terraform, automated release engineering, and graph-based deployment telemetry.
Technical Skills
| Systems & Cloud |
Linux (Ubuntu/Debian, Systemd, Nginx, SSH), GCP (Compute Engine, Cloud Run), AWS (EC2), Kubernetes (Minikube) |
| Containers & IaC |
Docker, Docker Compose, Terraform |
| CI/CD & Release |
GitHub Actions, Vercel CLI & Automated Deployments, Advanced Git (Cherry-pick, Rebasing, Submodules, Release Tags), Bash / Shell Scripting |
| Backend & Telemetry |
Node.js, Express, PM2 Daemon Management, PostgreSQL, Redis, Neo4j, WebSockets (Socket.IO), Model Context Protocol (MCP) |
Programming Languages
JavaScript, Python, C, C++, Java, TypeScript
Experience & Achievements
Software Engineering & DevOps Intern — Founding SDE & DevOps Intern
Kridtech Corp. | July 2026 – October 2026
- Maintained 2+ months of continuous production deployment for Vaniger across a GCP VM (Node.js/Express, Nginx reverse proxy, PM2 daemon) and Vercel (Next.js).
- Engineered automated GitHub Actions CI/CD pipelines deploying to GCP via automated SSH key authentication, production dependency verification, and zero-downtime PM2 restarts.
- Designed an innovative Vercel CLI workflow with prebuilt artifact generation and automated git author-matching, successfully bypassing Vercel Hobby-tier team contributor deployment blocks.
- Managed release engineering using advanced Git workflows (cherry-picking, branch rebasing, patch isolation for hotfixes), and authored the master 12-part architecture and deployment handover suite.
- Architected core telephony and billing subsystems using Telnyx WebRTC, Socket.IO presence routing, Deepgram dual-channel streaming, and atomic PostgreSQL stored procedures.
AI & Machine Learning Intern
Artsy Technologies Pvt Ltd | May 2026 – June 2026
- Contributed to Python-based machine learning projects, collaborating on model development and
integration for real-world applications.
- Worked with engineering teams to translate ML solutions into deployable software components.
1st Place — Intelligent System Hackathon
Model Context Protocol (MCP) Wrapper Development
- Designed and implemented an MCP server exposing Indian Sign Language translation capabilities to
AI assistants using standardized protocol interfaces.
Projects
- Technologies: Node.js, Neo4j, Redis, Next.js, GitHub Actions, Webhooks
- Architected a centralized CI/CD observability platform capturing deployment metrics and pipeline lifecycles across distributed repositories.
- Modeled multi-stage build and deployment dependency graphs in Neo4j to accelerate root-cause fault isolation and failure analysis.
- Built resilient GitHub webhook ingestion with Redis caching for real-time deployment telemetry processing.
- Technologies: Rust, TypeScript, Tauri, Kotlin, Bash, C, Tailscale
- Developed a distributed, privacy-first systems suite integrating mobile, desktop, and Linux workstations into a unified mesh network.
- Built a high-performance Rust systems daemon (
fortis-agent) exposing Unix Domain Sockets and IPC for zero-latency cross-process communication.
- Enforced zero-trust device pairing with Ed25519 cryptographic signatures and hardware-backed AES-256 encrypted vaults.
- Technologies: Python, Bash, Shell Scripting, Linux Systemd, Go
- Engineered automated infrastructure maintenance utilities, cron orchestration, and backup/restore daemons for distributed Linux nodes.
- Implemented real-time host resource monitors and secure credential synchronization across multi-device developer environments.
- Technologies: Node.js, PostgreSQL, React Native, Next.js, WebSockets
- Built a real-time transit telemetry platform streaming live vehicle coordinates with sub-2-second latency over persistent WebSockets.
- Designed normalized relational schemas with spatial indexing in PostgreSQL for geofence-triggered transit stop detection.
- Technologies: Terraform, Docker, AWS EC2, GitHub Actions, Kubernetes (Minikube)
- Provisioned declarative cloud infrastructure on AWS EC2 using modular Terraform configurations with remote state management.
- Implemented end-to-end GitHub Actions automated pipelines for container builds, linting, and automated zero-downtime rolling deployments.
- Validated cloud-native orchestration with Kubernetes (Minikube), defining Deployments, Services, and Ingress routing rules.
Technical Publications
- Authored an architectural deep dive on distributed operating systems, cross-device execution consistency, automated snapshotting, and fault recovery in decentralized computing environments.
- Documented designing a zero-touch distributed automation network across Linux and mobile utilizing Tailscale mesh VPN, SSH protocol automation, and Unix IPC.
Education
Bachelor of Engineering (Computer Science)
2023 – 2027
Maharaja Institute of Technology Mysore