Backend Engineer and Open Source Contributor, transitioned from Civil Engineering into software engineering, bringing strong problem-solving skills with 1.5+ years of hands-on backend development. Currently architecting AI-powered systems and optimizing cloud infrastructure.
- Specialization: Cloud-native architectures, scalable microservices, and Agentic AI.
- Impact: Reduced release cycles by 40% at OmniqAI via CI/CD optimization.
- Open Source: Active contributor across repositories involving backend systems, DevOps tooling, and developer productivity.
- Current Focus: Building autonomous DevOps agents and exploring Blockchain (Solana/Ethereum).
An AI-powered platform automating the entire Software Development Life Cycle (SDLC).
- Core Features: Unified code analysis, auto-test generation, and intelligent debugging with root cause analysis.
- Stack: Next.js, TypeScript, LLM Agents, Distributed Systems.
DevOps tool leveraging the Model Context Protocol (MCP).
- Allows users to manage Docker containers using natural language commands and real-time analytics.
- Stack: TypeScript, React, Dockerode.
Infrastructure as Code initiative.
- Refactored legacy pipelines to achieve zero-downtime deployments.
- Stack: GitHub Actions, AWS, Kubernetes.



