Building intelligent, cloud-ready applications using AI, backend systems, and DevOps practices.

I am a Computer Science graduate from Bengaluru with hands-on experience in AI, Generative AI, backend development, and DevOps workflows.

I enjoy building practical systems that combine clean backend APIs, automation, containerization, and intelligent AI workflows. My work includes GenAI applications, REST APIs, Dockerized deployments, CI/CD pipelines, and cloud-native project setups.

• 🔭 Currently strengthening my skills in Java, Spring Boot, Kubernetes, Jenkins, AWS, and system design
• 🧠 Interested in LLMs, LangChain, RAG systems, AI agents, and computer vision
• ⚙️ Building projects around backend engineering, DevOps automation, and AI-powered applications
• ☁️ Practicing cloud and DevOps tools including Docker, Kubernetes, Jenkins, Terraform, AWS, SonarQube, Nexus, Trivy, and Prometheus
• 📚 Exploring Quantum Computing, Explainable AI, and AI research-oriented systems
• 🤝 Open to learning, collaboration, internships, and entry-level software engineering opportunities

• Built and supported GenAI workflows using FastAPI, LangChain, prompt pipelines, and API integrations
• Worked on backend endpoints for AI-powered content generation and automation features
• Explored RAG-based systems, AI agents, and LLM orchestration patterns

• Worked on satellite image change detection using deep learning-based preprocessing and inference workflows
• Gained experience with image tiling, model execution, Dockerized inference, and GPU-based evaluation environments
• Interested in Explainable AI and practical AI systems for real-world use cases

• Built REST APIs using Java, Spring Boot, FastAPI, and Flask
• Developed full-stack applications using Angular, React, MySQL, MongoDB, and Docker
• Focused on clean API structure, database integration, authentication, and deployment readiness

• Created CI/CD pipelines using Jenkins, Maven, Docker, SonarQube, Nexus, Trivy, and OWASP Dependency-Check
• Practiced Kubernetes deployments with backend, frontend, database, services, and manifests
• Worked with AWS services such as EC2, EKS, ECR, S3, IAM, VPC, CloudWatch, and Load Balancing

A full-stack voting application built using Spring Boot, Angular, MySQL, Docker, Kubernetes, and Jenkins.

• Developed REST APIs for poll creation, listing, voting, and result handling
• Containerized backend, frontend, and database services using Docker
• Practiced CI/CD workflow with Jenkins, Docker image build, security scanning, and Kubernetes deployment

An AI-powered legal reference assistant built using Python, FastAPI, RAG, FAISS, and LLM workflows.

• Implemented document-based retrieval using embeddings and vector search
• Built API endpoints for question-answering over legal reference content
• Focused on practical RAG flow, prompt handling, and backend integration

A backend-focused work order management system using Java, Spring Boot, SQLite, and Docker.

• Built CRUD APIs for managing work orders and operational data
• Added local persistence and containerized the application
• Practiced backend design, health checks, and deployment-ready packaging

A DevOps project focused on automating build, quality analysis, artifact storage, containerization, and deployment.

• Integrated Jenkins pipeline stages for build, test, SonarQube analysis, Nexus upload, Docker build, and security scanning
• Used Trivy and OWASP Dependency-Check for vulnerability analysis
• Practiced real-world DevOps workflow used in modern software delivery

• Advanced Java backend development with Spring Boot
• Kubernetes deployment patterns and cloud-native application delivery
• Jenkins CI/CD pipelines with quality gates and security scanning
• AWS cloud infrastructure and DevOps workflows
• DSA, problem solving, and interview preparation
• AI agents, RAG systems, and production-ready GenAI applications

Thanks for visiting my profile. Let's build something meaningful 🚀