Professional Summary
DevOps-focused engineering student with strong Linux internals knowledge and experience designing
real-time distributed systems. 1st place hackathon winner for MCP-based architecture integrating AI
tools via standardized protocol interfaces. Interested in reliability engineering, observability, and
infrastructure automation. Focused on building systems that fail gracefully and expose their internal
state for debugging.
Technical Skills
| Operating Systems |
Linux (filesystem, permissions, systemd, process management, logs) |
| DevOps & Tools |
Docker (production usage), Terraform, CI/CD (GitHub Actions), Git, Bash, Kubernetes (Learning) |
| Backend Development |
Node.js, PostgreSQL, MCP (Model Context Protocol) |
| Frontend / Mobile |
Next.js, React Native (Expo) |
| Version Control Concepts |
Branching strategies, commit hygiene, partial staging, rebase workflows |
Languages
JavaScript, Python, C, C++, Java, Bash / Shell scripting, HTML, CSS
Experience & Achievements
AI & Machine Learning Intern
Artsy Technologies Pvt Ltd | May 2026 – Present
- Selected for a specialized AI/ML internship to work on real-world projects alongside experienced industry professionals.
- Focused on developing and integrating Python-based Machine Learning models.
1st Place — MCP-Based Systems Engineering Intelligent System Hackathon
Model Context Protocol (MCP) Wrapper Development
- Won 1st place for building an MCP wrapper around an Indian Sign Language (ISL) translator.
- Developed an MCP server that integrates ISL capabilities seamlessly into AI assistants.
- Demonstrated system architecture thinking by bridging accessibility tools with modern AI infrastructure.
Projects
Fortis-CI — Open Source Deployment Observability
Technologies: Graph-Native Tracking, Root Cause Analysis, Automated Rollbacks
- Building a centralized observability and recovery layer for software deployments.
- Implementing graph-native deployment tracking with automated root cause analysis.
Infra Sentinel (HackHazards '26) — Graph-Native AI SRE Platform
Technologies: Neo4j AuraDB, Node.js, Next.js, LLM Integration
- Architected a Graph-Native AI SRE platform, reducing incident triage time from 45 mins to 3 mins.
- Modeled infrastructure dependencies as a Neo4j graph to calculate failure blast radius instantly.
Portfolio Infrastructure — Zero-to-Production DevOps Pipeline
Technologies: Docker, Terraform, AWS EC2, GitHub Actions, Minikube (K8s)
- Deployed a Next.js app using Docker, Terraform, and Kubernetes for high availability.
- Automated CI/CD with GitHub Actions and optimized multi-stage Dockerfiles.
MY(suru) BUS — Real-Time Smart Bus Tracking System
Technologies: Node.js, PostgreSQL, React Native, Next.js, Supabase, WebSockets
- Built a real-time GPS tracking platform with <2s latency using Node.js and WebSockets.
- Designed robust PostgreSQL schemas and implemented geofence-based stop detection.
CI/CD Sentinel — Centralized Deployment Observability Platform
Technologies: Next.js, Node.js, Neo4j, Redis, GitHub Actions, Webhooks
- Built a deployment intelligence platform on Neo4j to map complex CI/CD lifecycles.
- Developed idempotent webhook ingestion for GitHub Actions to track metadata.
Education
Bachelor of Engineering (Computer Science)
2023 – 2027
Maharaja Institute of Technology Mysore
Additional Highlights
- Strong Linux fundamentals including users, permissions, processes, networking, and system
troubleshooting.
- Experience designing real-time backend systems using WebSockets and event-driven communication.
- Focus on reliability and observability in system design, prioritizing fault tolerance and
monitoring.