Software architecture · Engineering · Research

Complex Systems.Clear Engineering.

We architect, build, and evolve reliable software systems. From application architecture to data-intensive platforms, Webliyacelebi IT Enthusiasts transforms complex engineering challenges into practical, sustainable solutions.

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01Approach

Engineering Beyond Implementation.

Great software is more than working code. It is the result of deliberate architectural decisions, thoughtful abstractions, measurable trade-offs, and disciplined execution.

At Webliyacelebi IT Enthusiasts, engineering starts with understanding the problem and continues through architecture, implementation, optimization, and long-term evolution.

02What we do

Six disciplines, one engineering standard.

From the first architectural decision to the systems that keep running years later, each service applies the same principle: understand the problem before choosing the tools.

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Software Architecture & System Design — View service
Deliberate technical decisions under real-world constraints: system structure, boundaries, technology selection and modernization plans that teams can actually execute.
Custom Software Development — View service
Business applications, internal platforms and product development built on maintainable architecture, robust backends and practical user experiences.
Backend Engineering & API Design — View service
Backend architecture, API design, data modeling and background processing with predictable integrations and clear operational behavior.
Data Engineering & Platforms — View service
Ingestion pipelines, transformation workflows, storage design and data quality for systems that need information to be reliable and usable.
Infrastructure & DevOps — View service
Linux environments, containerized applications, CI/CD and deployment architecture that keep operations predictable and repeatable.
Applied AI & Optimization — View service
Machine learning integration, model evaluation and optimization workflows, approached with reproducible experimentation and honest measurement.

03Engineering philosophy

Built on Principles. Guided by Experience.

Principles matter most when they are inconvenient. These four shape how we evaluate options, make decisions and write code.

Principle 01
Clarity over complexity
Architecture should make systems easier to understand, maintain, and evolve.
Principle 02
Pragmatism over dogma
Technology decisions must be justified by real requirements and constraints.
Principle 03
Evidence over assumptions
Optimization, performance, and reliability should be validated rather than presumed.
Principle 04
Sustainability over shortcuts
Software should serve its purpose today without obstructing tomorrow.

04Selected engineering work

Architecture, tested in practice.

Case studies show the reasoning behind real systems: the constraints, the trade-offs and what we would do differently. Internal R&D is always labelled as such.

See all work

Case studies are published only after the underlying information has been verified and approved for publication. Engineering Lab write-ups are in preparation.

05Open source

Built in the Open.

Engineering extends beyond client projects. We build and share tools, libraries, and developer utilities that reflect our approach to problem-solving, performance, and practical software design.

Developer Tools / AI Integration
Beta
freqtrade-mcp — freqtrade-mcp on GitHub (opens in a new tab)
A read-only Model Context Protocol server that helps AI coding assistants understand the Freqtrade codebase through method signatures, type hints, configuration schemas and documentation.
Language
Python
Python / High-Performance Computing
Experimental
freshmeat-heikinashi — freshmeat-heikinashi on GitHub (opens in a new tab)
A performance-oriented Python library for Heikin-Ashi candlestick calculations, using Numba JIT compilation to accelerate computation.
Language
Python
Developer Tools / Data & Analytics
Experimental
ta-lib-mcp — ta-lib-mcp on GitHub (opens in a new tab)
A read-only Python MCP server for discovering TA-Lib technical indicators, inspecting their parameters and performing indicator computations.
Language
Python
Developer Productivity / CLI Tools
codex-profile — codex-profile on GitHub (opens in a new tab)
An unofficial Bash-based profile manager for the OpenAI Codex CLI, allowing developers to switch between isolated configurations while sharing selected resources.
Language
Shell