The problem: A UK client in building safety had engineers reading survey reports, fire risk assessments and test certificates by hand, then writing up each building’s safety status. Hours per building, and two engineers reading the same documents did not always reach the same answer.

What it does now: Documents are read automatically. Every extracted value carries a quote from the source page. Anything the system is not confident about is flagged for human review before it counts. Status is then calculated from rules the client controls, so the same documents always produce the same answer.

Stack: Django REST Framework, PostgreSQL, Celery with Redis, Next.js and React, on Linux with nginx and systemd.

The AI extracts. It never decides. The model pulls values out of documents and does nothing else. Status comes from rules running over those values, so it is reproducible and traceable. If a building is later found unsafe, somebody has to explain how the assessment was reached, and “the model said so” does not survive scrutiny. Every value stores its source page and quoted line, so a user can click any figure and land on the exact text behind it.

Confidence is a band, not a number. High, Medium or Low. Low is treated as no answer at all, and the field is recorded as not found, because an empty field gets chased and a plausible wrong value gets believed.

Rules are data, not code. The logic deciding a building’s status lives in database rows read by one evaluator. The client changes a threshold, and it applies on the next read, turning a two-week change request into a five-minute edit. A rule in a table has no compiler checking it, so every rule carries a test asserting its outcome for known inputs. Backend tests run under pytest, frontend units under Vitest, both in Docker.

Absence has more than one meaning. A document never supplied is a different problem from one that expired, and both differ from one with no review scheduled. Collapsing them into a single “not compliant” flag is simple to build and useless to act on. Each state is modelled separately, and one place decides whether a state counts as covered, so no two screens disagree.

Slow calls do not block the job. Extraction runs as a Celery task, so an upload returns immediately and results appear as each document finishes. When the model is unavailable, uploads still succeed and documents queue.

Result: Assessments that took hours take minutes, and two people reading the same building get the same answer. Every figure traces back to a page in a source document, so the output holds up under audit. Several client organizations share one deployment, each seeing only their own buildings.

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