Professional Summary
DevOps-focused Computer Science student with hands-on experience building observability, deployment automation, and real-time backend systems. Designed graph-based infrastructure monitoring platforms using Neo4j, GitHub Actions, Docker, and Terraform, with a focus on reliability engineering, fault isolation, and infrastructure automation. First-place winner in an MCP-based systems engineering hackathon.
Technical Skills
| Systems & Cloud |
Linux, AWS EC2, Familiar with Kubernetes fundamentals |
| Containers & IaC |
Docker, Terraform |
| CI/CD & Automation |
GitHub Actions, Git, Bash / Shell scripting |
| Backend & Databases |
Node.js, PostgreSQL, Neo4j, Redis, WebSockets, Model Context Protocol (MCP) |
Programming Languages
JavaScript, Python, C, C++, Java, TypeScript
Experience & Achievements
AI & Machine Learning Intern
Artsy Technologies Pvt Ltd | May 2026 – Present
- 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
- Designed a centralized deployment observability platform to track CI/CD execution across repositories.
- Implemented graph-based dependency modeling to support deployment tracing and failure analysis.
- Developed GitHub webhook ingestion for reliable collection of deployment metadata.
- Technologies: Neo4j AuraDB, Node.js, Next.js, LLMs
- Architected a Graph-Native AI SRE platform designed to accelerate incident triage and resolution.
- Modeled infrastructure dependencies as a Neo4j graph to calculate failure blast radius instantly.
- Technologies: Node.js, PostgreSQL, React Native, Next.js, 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.
- Technologies: Docker, Terraform, AWS EC2, GitHub Actions, Kubernetes (Minikube)
- Automated infrastructure provisioning using Terraform and containerized application deployment with Docker.
- Built GitHub Actions workflows to automate build, test, and deployment of a Next.js application.
- Configured Kubernetes (Minikube) to validate container orchestration concepts in a production-like environment.
Education
Bachelor of Engineering (Computer Science)
2023 – 2027
Maharaja Institute of Technology Mysore