DevOps Engineer & AI Specialist | Bridging Scalable Infrastructure with Intelligent Applications

I'm a final-year Computer Engineering student specializing in DevOps, passionate about building intelligent, scalable systems that solve real-world problems. My expertise lies at the intersection of cloud infrastructure, AI engineering, and full-stack development, with a focus on creating production-ready solutions.

• 🔭 Currently working on: Advanced RAG systems and Kubernetes orchestration for AI workloads
• 🌱 Currently learning: MLOps practices and advanced cloud security patterns
• 👨‍💻 Portfolio: mywebsiteme.netlify.app
• 📫 Reach me at: sahilsingh8300@gmail.com
• 📄 Resume: View my resume
• ⚡ Fun fact: I've automated deployment processes that reduced release times from hours to minutes!

Dec 2024 - Jan 2025 | Virtual

• Designed and implemented scalable web applications with performance optimization and secure authentication
• Developed containerization-ready architecture using Docker for multi-environment deployment
• Collaborated on implementing best practices for code quality, testing, and documentation

May 2024 - Jul 2024 | Virtual

• Designed and simulated enterprise network architectures for 50+ node networks using Cisco Packet Tracer
• Configured VLANs, routing protocols (OSPF, EIGRP), and implemented network security with ACLs
• Applied TCP/IP stack knowledge essential for modern DevOps and cloud deployments

Python, FastAPI, MySQL, Docker, SQLAlchemy

• Built comprehensive REST API with 90+ endpoints for aviation booking platform serving pilots and customers
• Designed AI-powered chatbot with automatic case ID generation and intelligent conversation management
• Implemented complex MySQL database schema with 17 interconnected tables handling multi-dashboard analytics
• Containerized entire application stack using Docker with multi-stage builds and Docker Compose orchestration

FastAPI, LangGraph, ChromaDB, React, Ollama

• Developed conversational AI shopping assistant using LangGraph workflow engine with state-driven orchestration
• Implemented RAG pipeline with ChromaDB for product search and context retrieval
• Integrated Mistral LLM via Ollama for local inference, achieving sub-second response times
• Designed fallback systems with keyword matching ensuring 99.9% uptime during AI service interruptions

Spring Boot, MySQL, Docker, JWT, Thymeleaf

• Developed full-stack urban mobility solution with real-time parking availability tracking
• Implemented secure authentication using Spring Security with JWT tokens and role-based access control
• Created responsive frontend with Thymeleaf templates, Bootstrap 5, and Leaflet.js for interactive maps
• Built reward points system with user dashboard showing booking history and statistics