I am a full-stack and DevOps engineer who ships production systems that stay fast, secure, and easy to operate. I build with Python, Django, FastAPI, React, and Angular, and I run those services on AWS with Docker, Kubernetes, Terraform, and strong CI/CD.
I have delivered secure REST APIs and responsive front ends for analytics, education, and startup products. I designed AWS foundations with Terraform, automated releases with GitHub Actions and GitLab CI, and hardened platforms with least-privilege IAM and image scanning. I improved reliability with EKS, ECS, and serverless patterns on API Gateway, Lambda, SQS, and EventBridge. I raised observability with Prometheus, Grafana, Fluentd, and Datadog so teams can find and fix issues quickly.
Previously, I upgraded a large Django platform from Python 2 to Python 3 and containerized services on AWS EKS. I led the development of a fire reporting platform using Django, Redis, and PostgreSQL, which automated manual tasks and generated accurate reports. I built micro-frontend modules with Angular and Module Federation and shipped PrimeNG-based admin tooling that simplified operations.
What sets me apart is the blend of platform ownership and product delivery. I manage roadmaps, mentor teammates, and keep pipelines lean. I document decisions, align stakeholders, and move features from idea to stable release. I hold certifications in CKAD, AWS, and SnowPro Core, and I continue to learn. If your stack leans on a tool I haven’t used, I pick it up quickly and deliver to your standards.
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A full-stack social networking platform built for developers to connect, share their work, and showcase their skills. The application allows users to create detailed profiles with professional experience, education history, technical skills, and social media links. Developers can share posts, comment on discussions, and interact through likes and nested comment threads.
The backend runs on Node.js and Express.js with a RESTful API architecture. I implemented comprehensive input validation, structured error handling, and MongoDB integration using Mongoose ODM for efficient data modelling. Authentication uses JWT tokens with Passport.js strategy, including secure password hashing with bcryptjs and automatic token expiration handling for session management.
The frontend is built with React.js using Context API for global state management across authentication, profiles, posts, and GitHub integration modules. I used React Router for navigation with protected routes that validate tokens before granting access. The UI is responsive using Bootstrap and Styled Components, ensuring a consistent experience across devices.
One feature I enjoyed building was the GitHub API integration. Users connect their GitHub account and the platform automatically fetches and displays their repositories, giving visitors a real-time view of their active projects without manual updates.
The validation layer uses Validator.js on both client and server sides to ensure data integrity for registration, login, profile creation, and post submissions. Axios handles HTTP requests with interceptors for centralized API communication and error handling.
Technologies: MongoDB, Express.js, React.js, Node.js, JWT, Passport.js, Mongoose, Context API, React Router, Bootstrap, Styled Components, bcryptjs, Validator.js, GitHub API, Axios, ES6+ JavaScript
Link to project: https://www.twine.net/signin
Developed an enterprise-grade platform for automating compliance document generation and workflow management. Built with Django using a modular monolith architecture with eight domain-driven applications. Implemented complex multi-step form workflows, template-based document generation, processing Word documents dynamically, and asynchronous task processing using Celery and RabbitMQ. Features include granular permission management with object-level access control, a real-time notification system, version control, approval workflows, and complete audit trails. Established a full DevOps pipeline using Terraform for infrastructure provisioning, GitHub Actions for CI/CD, and Docker containerization. Production deployment includes automated testing, security scanning, and SSL/TLS configuration.
Description:
Built a production-ready API that automates invoice data extraction from unstructured documents (PDF, PNG, JPEG) without requiring templates. The system uses a hybrid approach combining regex pattern matching for simple fields and Large Language Models for complex semantic understanding. Integrated multiple AI providers (Ollama, OpenRouter, AWS Bedrock) with automatic fallback mechanisms for reliability. Implemented a comprehensive validation framework with confidence scoring to flag items requiring manual review. Designed asynchronous processing using Celery and RabbitMQ to handle high-volume uploads. The system transforms extracted data to match external API specifications while maintaining complete audit trails.
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