Help & Supportcareers@gravityer.com
Devops Engineer with 1+ years in AWS & Azure Cloud Platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DevOps Engineer with hands-on experience in AWS and Azure cloud platforms, CI/CD pipeline automation, and containerized deployments using Docker and Kubernetes. Skilled in Jenkins, GitHub Actions, and Infrastructure as Code using Terraform. Recently built and deployed SupaChat—a full-stack conversational analytics platform using React, FastAPI, Supabase, Docker, Nginx, GitHub Actions CI/CD, and a complete Prometheus, Grafana, and Loki monitoring stack with a bonus AI-powered DevOps Agent. Passionate about automating deployments, improving system reliability, and shipping production-grade cloud-native applications.
Pr. Pote Patil Collage of Engineering
BE · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2025
Hisan Labs Private Limited
DevOps Engineer (Intern)
June 1, 2025 – Present
Pune, Maharashtra, India
SupaChat — Conversational Analytics Platform (Full DevOps Lifecycle)
June 29, 2026 – Present
Built a full-stack AI-powered analytics app where users query a blog PostgreSQL database in natural language and receive charts, tables, and insights powered by Claude AI. Designed React frontend with Recharts (bar, line, pie charts), chatbot UI, query history, results table, and proper loading and error states. Developed FastAPI Python backend integrating Claude AI for NL-to-SQL conversion and Supabase PostgreSQL for data storage with a /health endpoint. Fully Dockerized with docker-compose covering 9 containers — Nginx, Prometheus, Grafana, Loki, Promtail, cAdvisor, Node Exporter — with CPU/memory limits and health checks. Configured Nginx reverse proxy with gzip compression, caching, rate limiting, security headers, and WebSocket support. Set up GitHub Actions CI/CD pipeline for automated testing, Docker image build/push, cloud deployment, rolling restart, and auto rollback on failure. Implemented full observability: Prometheus metrics, Grafana dashboards (request rate, error rate, P95 latency, container health), and Loki for real-time log aggregation. Built bonus DevOps Agent CLI (Python + Claude AI) for health diagnostics, log analysis, RCA, container restart, and CI/CD failure explanation.
View ProjectStudent Management System – 3 Tier Architecture on AWS
June 29, 2026 – Present
Designed and deployed a scalable 3-tier web application architecture on AWS, separating presentation, application, and database layers for better maintainability and performance. Implemented the web tier using EC2 and Nginx, application tier using backend services (Node.js/Flask as applicable), and database tier using Amazon RDS/MySQL. Configured secure networking using VPC, Security Groups, and IAM roles to control access between tiers. Utilized S3 for storage and deployment of static assets and application artifacts, enabling easy versioning and management. Integrated Load Balancer (ALB/ELB) to distribute traffic and ensure high availability and fault tolerance. Automated deployment workflow using GitHub and AWS services, improving deployment efficiency and reducing manual effort.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong cultural fit for a DevOps role through their passion for automating deployments, improving system reliability, and shipping production-grade cloud-native applications. The personal projects showcase initiative and a drive for continuous learning and application of new technologies. The breadth of skills across cloud platforms, CI/CD, containerization, IaC, and observability aligns well with a modern DevOps culture. The candidate's current internship as a DevOps Engineer further solidifies this alignment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a strong focus on automation, system reliability, and collaboration, which are crucial for an operational fit in a DevOps role. The detailed explanation of the SupaChat project, including its full DevOps lifecycle, indicates a proactive and problem-solving mindset. The use of AI tools for diagnostics and RCA also suggests an innovative approach to operational challenges.