Chirag Gadhvi — DevOps Engineer

Software Engineer with 2+ years of experience building scalable backend systems, cloud infrastructure, and AI-powered applications. I specialize in Python, FastAPI, AWS, and Docker — designing production-ready solutions from backend APIs to intelligent automation platforms that deliver measurable business impact. Technical Skills: My core expertise spans backend development with Python, FastAPI, and Django REST Framework for building microservices and RESTful APIs. On the infrastructure side, I work extensively with AWS services including EC2, ECS, Lambda, S3, and RDS, along with Docker, Kubernetes, Terraform, and CI/CD pipelines. I also build AI and automation systems using LLM integration, RAG architectures, vector databases, chatbots, and voice agents, backed by databases like PostgreSQL, MySQL, Redis, and Elasticsearch. Key Impact: At ShipConsole, I reduced deployment time by 35% and AWS costs by 20% through automation and optimization. I built Python frameworks that manage 100% of production infrastructure, reducing manual interventions by 90%. I also replaced CloudWatch with Prometheus and Grafana, cutting monitoring costs by 97%. These contributions earned me the Performer of the Year 2024 award. As a Freelance AI Automation Engineer, I've designed and deployed intelligent automation platforms for clients across the US, Europe, and Australia, reducing their manual effort by up to 80% while maintaining quality and consistency. Recent Projects: I actively build and ship products to explore emerging technologies. Recent work includes AETHER, a neural spatial engine that converts text or images into navigable 3D environments, an AI-enhanced portfolio platform with a voice assistant and custom-trained chatbot, and production-grade RAG-based knowledge APIs with semantic search and LLM inference. I ship fast, focus on scalable architecture, and enjoy building products that solve real problems. Currently exploring advanced LLM workflows and spatial computing. Open to Software Engineering, Backend Development, AI/ML Engineering, and DevOps roles. Let's connect if you're building innovative products or need engineers who can architect and ship end-to-end solutions.

Stackforce AI infers this person is a Backend-heavy DevOps Engineer specializing in Cloud Infrastructure and AI Automation.

Location: Hyderabad, Telangana, India

Experience: 2 yrs 5 mos