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 production-ready full-stack social networking platform built specifically for developers. Users can create detailed professional profiles with work history, education, skills, and social links, connect their GitHub account to surface live repository data, write and interact with posts, and leave comments, all within a clean, responsive interface.
Authentication is stateless and secure using JWT and Passport.js. The React frontend uses Context API and useReducer for clean global state management across authentication, profiles, posts, and GitHub integration. The Express.js and Node.js backend handles input validation, error management, and MongoDB data operations through a well-structured RESTful API layer.
Technologies: MongoDB, Express.js, React.js, Node.js, JWT, Passport.js, Mongoose, Axios, React Router, Context API, Bootstrap, Styled Components, bcryptjs, Validator.js, GitHub API, ES6+ JavaScript, HTML, CSS
A full-stack compliance platform built for a fire safety engineering consultancy to replace a slow, error-prone, manual reporting process. Engineers were spending hours compiling compliance documents from scratch, with every surveyor using their own template, resulting in inconsistent output and preventable mistakes. The platform automates that entire workflow.
The system generates formatted, regulation-ready Word documents automatically from structured form data, supports configurable document sections per document type, and routes everything through a structured review and approval workflow. Role-based access control gives Admins, Reviewers, and standard Users precisely the permissions they need and nothing more. A real-time reporting dashboard built on complex PostgreSQL queries gives the team visibility into document status, pending approvals, and compliance metrics at a glance.
Celery and RabbitMQ handle document generation and email notifications asynchronously, keeping the interface fully responsive under load. The platform is deployed on Linux with Nginx, Gunicorn, Docker, and full CI/CD automation via Terraform and GitHub Actions, including automated testing, security scanning, and SSL/TLS configuration.
Technologies: Python, Django, Django REST Framework, Celery, RabbitMQ, PostgreSQL, python-docx, Docker, Terraform, GitHub Actions, Nginx, Gunicorn, JWT Authentication, 2FA, Bootstrap, Linux, HTML, CSS, JavaScript, React.js, AWS
A production-grade middleware API that eliminates manual invoice data entry by automatically extracting structured data from unstructured documents (PDFs, PNGs, and JPEGs) without requiring templates or predefined layouts. The system uses a hybrid extraction engine that combines fast regex pattern matching for standard fields with Vision-Language Model(VLM) processing for complex semantic understanding of line items, party details, and tax structures. Processing time was brought down from over 90 seconds to under 25 seconds per invoice.
Built with resilience at its core: automatic failover between AI providers (OpenRouter, Ollama, AWS Bedrock) ensures continuous processing even if one service goes down. A three-stage validation framework performs field checks, mathematical consistency verification, and confidence scoring before any data reaches downstream ERP systems. Asynchronous bulk processing via Celery and RabbitMQ handles thousands of simultaneous uploads without degrading API responsiveness.
Technologies: Python, Django REST Framework, Celery, RabbitMQ, PostgreSQL, Redis, Docker, Terraform, GitHub Actions, JWT Authentication, AWS Bedrock, OpenRouter, Ollama, Swagger/OpenAPI, HTML, CSS, JavaScript, React.js
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