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Devops Engineer with 4+ years in Cloud & Automation
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
An aspiring DevOps and AI Engineer skilled in building scalable applications and automating workflows using Docker, Linux, and cloud technologies. Passionate about integrating AI-driven solutions and deploying efficient, production-ready systems. Focused on continuous learning and delivering reliable, high-performance applications.
KLN College of Engineering
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
PiBi Technologies
DevOps Engineer Intern
January 1, 2022 – June 1, 2026
India
Agentic RAG-Based Study Assistant for DevOps & MLOps
June 1, 2026 – Present
Developed an intelligent RAG-based assistant tailored for DevOps and MLOps learners, providing domain-specific and context-aware responses. Implemented guardrails to ensure safe and reliable outputs while integrating scalable backend workflows for efficient query handling.
CI/CD Automation Pipeline
June 1, 2026 – Present
Designed and implemented an end-to-end CI/CD pipeline using Jenkins, automating build, testing, and deployment while integrating SonarQube for continuous code quality. Containerized applications using Docker and deployed with Nginx reverse proxy, managing source code using Git and GitHub.
AI Agent Development using Amazon Bedrock
June 1, 2026 – Present
Built AI agents using foundation models in Amazon Bedrock to automate domain-specific tasks and workflows. Integrated secure APIs and scalable cloud workflows ensuring high performance and reliability.
Geofencing Attendance System with Face Recognition
June 1, 2026 – Present
Developed a secure geofencing-based attendance system integrated with face recognition to ensure accurate and reliable user authentication. Built a full-stack solution by integrating frontend, backend, and Python-based face verification using REST APIs, along with real-time location tracking for enhanced security.
DevOps on AWS
Unknown
June 1, 2026 – Present
MLOps Certification
Udemy
June 1, 2026 – Present
AR/VR/MR Certification
Unknown
June 1, 2026 – Present
Data Engineering on AWS
Unknown
June 1, 2026 – Present
24-Hour Hackathon Participation Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in both DevOps and AI/MLOps, which indicates a forward-thinking and adaptable mindset. Their participation in community activities and publishing newsletters suggests a collaborative spirit and a desire to contribute beyond their immediate tasks. The diversity of personal projects, from CI/CD to AI agents and full-stack systems, demonstrates a broad technical curiosity and willingness to tackle different challenges. However, the lack of professional experience beyond an internship means their ability to integrate into a corporate culture and navigate complex team dynamics is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions and extra-curricular activities suggest a proactive, learning-oriented individual with an interest in sharing knowledge. The focus on SRE practices in their internship indicates an understanding of operational reliability. However, without direct interview data, it's difficult to fully assess communication clarity, problem-solving approach, and teamwork in a live operational context.