01 — Profile
About
the Engineer
Based in Hyderabad, Telangana, India. I am a Software Developer and DevOps Engineer specializing in infrastructure automation, secure server configuration, and containerized deployments.
Whether architecting production-grade CI/CD pipelines from scratch using GitHub Actions or orchestrating clusters with Kubernetes, my objective is to bridge the gap between development and operations with precision.
I believe in building systems that are robust, observable, and maintainable — engineering not just for today's requirements but for the infrastructure's long-term life.
02 — Career
Experience
Logs
Feb 2026 — Present
Worthit
Software Engineer Trainee
Engaged in active software development and engineering workflows. Integrating full-stack knowledge with operational deployments, contributing to production systems with a strong focus on reliability and scalable architecture.
Jul 2025 — Jan 2026
Magneq Software
DevOps Intern
Maintained a sustained focus on Docker container deployment and Nginx reverse proxy troubleshooting. Supported cloud-based deployments and streamlined CI/CD pipeline efficiency, reducing deployment friction across development teams.
03 — Work
Selected
Projects
Project — 01
TalentScan AI
An HR Intelligence Portal and resume analyzer. Utilizes deep document parsing to extract and evaluate candidate metrics, enabling smarter hiring decisions at scale.
Project — 02
Production CI/CD Engine
Architected a production-grade pipeline using a GitHub Actions-only approach for secure, automated code-to-server delivery. Zero downtime deployments with automated rollback capability.
04 — Capabilities
Tech
Stack
Infrastructure & Cloud
Docker
90%
Kubernetes
72%
AWS
78%
Linux
88%
Nginx
85%
Automation & Development
GitHub Actions
87%
Python
80%
Bash
82%
CI/CD
88%
Automation
84%
05 — Background
Education
Profile
Computer Science Foundations
Developed a strong foundational understanding of operating systems, networking protocols, and application architecture. This academic groundwork paved the way for advanced DevOps methodologies and cloud-native engineering practices — providing the theoretical backbone that informs every production decision made.