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Digital architecture & web development

Make your expertise
easy to choose.

Full-stack engineering, AI applications, automation systems and secure platforms — built on real open-source projects, not template marketing.

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AI ApplicationsFull Stack SystemsAutomationSecure PlatformsPerformance Optimised
Featured projects

Engineering you can inspect.

Three real engineering projects — each grouped by capability, each showing the problem, solution and architecture.

Security PlatformFull Stack

Secure Hub — File Encryption Platform

Overview

A production-grade file encryption and management platform combining AES-256 encryption, a FastAPI REST backend and a full admin dashboard.

Problem

Businesses sharing sensitive files over email or cloud storage expose data to interception. No existing lightweight tool offered end-to-end encryption with an admin interface.

Solution

Built a full-stack platform with FastAPI for the backend API, AES-256 + PBKDF2 for key derivation, JWT-based authentication and a responsive admin dashboard for file management.

Key features
  • AES-256 encryption with PBKDF2 key derivation
  • FastAPI REST backend with JWT auth
  • Admin dashboard for file & user management
  • Secure Vault companion for local encryption
PythonFastAPIAES-256JWTREST APIAdmin UI
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AI EngineeringAI / Agentic

Agentic AI Suite — OpenAI SDK & MCP

Overview

A collection of production-ready AI agent implementations using the OpenAI Agent SDK and Model Context Protocol for autonomous task execution.

Problem

Most AI demos are one-shot prompts. Real business automation requires agents that can use tools, maintain context, call APIs and hand off between sub-agents.

Solution

Implemented multi-agent workflows using the OpenAI Agent SDK, built MCP server integrations for tool use, and developed a Learn Agentic AI curriculum covering real patterns.

Key features
  • OpenAI Agent SDK with tool-use patterns
  • Model Context Protocol (MCP) server integrations
  • Multi-agent handoff and orchestration
  • Personal Employee — digital workforce automation
PythonOpenAI SDKMCPAgentic AIAsyncModel APIs
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Data & AutomationStreamlit / Python

Data Sweeper & Automation Toolkit

Overview

A suite of Streamlit-powered data tools — CSV/Excel cleaning, unit conversion, password analysis and file management — all deployable as standalone web apps.

Problem

Operations teams waste hours on manual data cleaning, unit conversions and file organisation tasks that could be automated but lack accessible web interfaces.

Solution

Built Data Sweeper for CSV/Excel processing, Convertify for unit conversion, Password Pedia for security analysis, and File Fusion as a unified file management platform.

Key features
  • CSV & Excel cleaning with Pandas (Data Sweeper)
  • Multi-category unit converter (Convertify)
  • Password strength analyser & generator (Password Pedia)
  • File management platform (File Fusion)
PythonStreamlitPandasExcelCSVWeb UI
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Engineering expertise

Capabilities, not categories.

Each capability is grounded in named projects and practical engineering work — not listed from a service brochure.

AI Applications

End-to-end AI products using model APIs, agent orchestration and tool-use patterns for real business automation.

OpenAIModel APIsAgentsPython

Full Stack Development

Complete web platforms from FastAPI REST backends to responsive frontends — production-ready and maintainable.

FastAPIPythonREST APIHTML/CSS

Secure File Systems

AES-256 encryption, JWT authentication and secure file handling. Built with security-first architecture.

AES-256JWTFastAPICryptography

Dashboard Development

Admin dashboards and analytics interfaces that make complex data immediately actionable for teams.

StreamlitChartsAdmin UIPandas

Automation Systems

Workflow automation and data processing tools that replace manual operations with reliable, repeatable pipelines.

PythonAutomationPandasScripting

Machine Learning

ML course implementations and real model training workflows — from data preparation to evaluation.

PythonMLScikit-learnNotebooks

Python Development

Clean, idiomatic Python across CLI tools, web apps, automation scripts and data pipelines.

PythonCLILibrariesOOP

MCP Integrations

Model Context Protocol server and client implementations for extending AI agents with external tool capabilities.

MCPOpenAI SDKAsyncAPIs

Responsive UI

Accessible, mobile-first interfaces built with modern CSS — performant across every device and screen size.

HTMLCSSJavaScriptWCAG AA
Technology stack

Tools chosen for longevity.

No legacy frameworks chosen for familiarity. Every tool is here because it earns its place in a production codebase.

Frontend
  • HTML5
  • CSS3
  • JavaScript
  • Responsive UI
  • WCAG AA
Backend
  • Python
  • FastAPI
  • REST APIs
  • Async
  • JWT
AI & Agents
  • OpenAI SDK
  • Model APIs
  • MCP
  • Agentic AI
  • Prompting
Data
  • Pandas
  • Excel
  • CSV
  • Streamlit
  • ML
Security
  • AES-256
  • PBKDF2
  • JWT
  • Cryptography
  • Auth
How we build

Six steps. No surprises.

A repeatable process that produces maintainable, documented software — every time.

Understand

Map requirements, constraints and technical architecture before writing any code.

Design

System architecture, data models and UI wireframes — decided before build begins.

Develop

Clean, documented code with tests. Each feature built to production standard from day one.

Optimise

Performance audits, security review and accessibility checks baked into every release.

Deploy

CI-ready builds, documented deployment and environment configuration handover.

Maintain

Ongoing support, dependency updates and clear documentation so teams can continue independently.

Engineering work

Modern software engineered for performance, security and scalability.

Explore named applications, platforms and utilities that show how practical engineering capabilities translate into working products.

Security
Secure Hub

File encryption platform with FastAPI backend, AES-256 and admin dashboard.

Python
AI
OpenAI Agent SDK

Production patterns for OpenAI agent implementations with tool use and handoffs.

Python
MCP
Model Context Protocol

MCP server and client integrations for AI agents to use external tools and data.

Python
Data
Data Sweeper

Streamlit app for cleaning and transforming CSV and Excel files with Pandas.

Python
Security
Password Pedia

Password generator and strength analyser with scoring and recommendations.

Python
Platform
File Fusion

Unified file management platform with categorisation and bulk operations.

Python
Utility
Convertify

Multi-category unit converter web app with clean Streamlit interface.

Python
AI
Learn Agentic AI

Hands-on curriculum for building production AI agent systems from scratch.

Python
ML
Machine Learning Course

Practical ML implementations covering supervised learning, data pipelines and evaluation.

Python
Engineering principles

How we write software.

Three non-negotiables that apply to every project, regardless of size or timeline.

Performance First

Performance is treated as an architectural concern from day one, shaping delivery, interfaces, data flows and long-term scalability.

Security by Design

Encryption, authentication and input validation built into the data model — not bolted on after the fact. Demonstrated in Secure Hub and Password Pedia.

Maintainable, Clean Code

Typed, documented and modular. Every codebase is handed over with the expectation that a team member who was not involved can understand and extend it.

  • Documented functions
  • Typed interfaces
  • Clear separation of concerns
  • Zero magic numbers
Why FINWEB

Engineering that means business.

Six reasons clients choose FINWEB for technical work — each one backed by something you can verify.

Modern tech stack

Python, FastAPI, OpenAI SDK and MCP — not legacy frameworks. Every project uses the tools that will still be relevant in five years.

Real engineering experience

Every project in the portfolio reflects production-grade work — tested, documented, and built to a standard that holds up to scrutiny.

Business-focused delivery

Engineering decisions are made in the context of business outcomes — not for technical elegance alone. Fast, maintainable, purposeful.

AI-ready solutions

Agent SDK, MCP integrations and OpenAI patterns already in production. Building AI into your product is a core capability, not an experiment.

Security first

AES-256, JWT, PBKDF2 and secure-by-default architecture in every platform that handles sensitive data.

Maintainable codebase

Clean architecture, typed interfaces and full documentation mean you own the system after handover — no lock-in, no mystery.

Ready to build

Turn your idea into
production software.

Whether it’s an AI product, a secure platform or a business automation tool — one conversation is enough to know if we are the right team.

Start a project See the evidence