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High-Performance Automation & Zero-Latency Edge Computing
High-Performance Automation & Zero-Latency Edge Computing
Bridging Legacy Infrastructure and Future-Proof Intelligence
Bridging Legacy Infrastructure and Future-Proof Intelligence
The Problem: Eliminate Operational Friction
The Problem: Eliminate Operational Friction
If your business relies on moving data manually between spreadsheets, legacy CRMs, and emails, or if you are bottlenecked by legacy physical hardware, you are bleeding capital. Human data entry causes latency and errors. "Dead" legacy systems waste 20% of productive capacity. At the same time, forcing human operators to use outdated physical interfaces (keyboards, RFID cards) creates severe operational friction.
The Architecture (The Solution)
The Architecture (The Solution)
I engineer the logic that reclaims that time. Using Python-based serverless environments (GCP) and proprietary edge-computed spatial engines, I build invisible infrastructure that doesn't just "move" data—it validates, transforms, and secures it. We map your broken workflows and deploy systems that automate your digital data and your physical interfaces.
1. Serverless Backend & API Integration
I deploy Google Cloud Functions and Flask/Django backends to create high-speed data tunnels.
The Result: Seamless synchronisation between your CRM, payment gateways (Stripe), and internal databases without the overhead of maintaining physical servers.
2. Intelligent Document & Data Processing
Leveraging the logic behind my PixelZap engine and RAG (Retrieval-Augmented Generation) pipelines.
The Result: Automate high-volume image/PDF processing, bulk data conversion (to 600 DPI standards), and AI-driven document search.
3. Secure Identity & State Management
Implementing Firebase JWT and NoSQL (Firestore) architectures to ensure your business data is gated by enterprise-grade security.
The Result: Prevention of data duplication, secure session management, and strict query integrity.
Case Studies & Proprietary Frameworks
Case Studies & Proprietary Frameworks
1. Enterprise Decommissioning: The LeDeR Engine
The Architecture: A locally executed, zero-trust Windows application designed for high-security IT infrastructures.
The Bottleneck: An enterprise IT department wasting hundreds of hours manually routing hardware decommissioning across disparate security platforms, resulting in compliance failures and active "ghost nodes".
The Execution: Developed a standalone engine that unifies Active Directory, Sophos Central, Rapid7, and Ivanti into a single payload.
The Result: Reduced a 12-minute manual process to under 15 seconds, guaranteeing 100% security compliance with a flawless local audit database and zero external cloud footprint.
2. Cloud Pipelines: PixelZap Engine
The Architecture: Serverless GCP (Google Cloud Platform) environments integrated with high-performance Python backends.
The Bottleneck: Manual, low-speed document conversion and unstructured data handling are causing severe operational latency.
The Execution: Deployed automated API bridges to handle high-volume image and PDF processing, bypassing physical server limitations.
The Result: Automated bulk data transformation (to strict 600 DPI enterprise standards) and intelligent data retrieval, completely removing the human error element from the pipeline.
3. Biometric Access Architecture: The PRISM Engine
The Architecture: Edge-computed facial recognition framework bridging local optical gateways with central Active Directory servers.
The Execution: Deployed a zero-latency spatial mapping sensor that extracts a 468-point topological vector matrix locally, without storing photographic data.
The Result: Hands-free, pre-arrival unlocking with zero credential vulnerability, rendering physical ID cards obsolete.
4. Touchless Spatial Infrastructure: The MANTIS Engine
The Architecture: Pure optical spatial OS controller running high-dimensional vector math locally on the host machine.
The Execution: Transformed standard enterprise cameras into precision motion controllers, translating mid-air hand kinetics directly into system execution streams.
The Result: Complete touchless software manipulation with zero new hardware requirements and absolute localised data privacy.
5. Multimodal Translation: The GLYPH Engine
The Architecture: Dual-sensor machine learning pipeline utilising computer vision and micro-Doppler radar telemetry.
The Execution: Engineered a framework that captures high-frequency point clouds and optical nodes to translate the kinetic geometry of British Sign Language (BSL).
The Result: Real-time, cloud-independent bidirectional gesture translation.
The CreSS Standard (Why Choose Me?)
The CreSS Standard (Why Choose Me?)
First-Class Technical Rigour: Every line of code is reviewed for maintainability and scalability, drawing from my experience as a Python Code Reviewer.
Edge-First Privacy: We do not route your sensitive operational data through external third-party cloud LLMs. We build the intelligence directly into your local nodes.
Enterprise Resilience: With years of 3rd-line ICT support and High-Volume Operations Management, I design for uptime. I don't just build code; I build systems that don't break under pressure.
Agile Deployment: I work in Kanban/Agile cycles. You get production-ready deployments, full technical documentation, and transparent version control via Git.
Stop bleeding capital to manual bottlenecks. Let’s map your workflow and identify the exact points where Python logic can replace human error.
Lead Architect: Oszkar Feher
Most developers build software in a vacuum. I build systems from the ground up because I spent years in 2nd and 3rd-line enterprise IT support. I know exactly where corporate infrastructure breaks, where the manual bottlenecks hide, and why legacy systems fail. I don't just write Python; I engineer operational resilience. I bridge the gap between high-level project management and raw system troubleshooting.
Core Infrastructure & Capabilities:
Core Infrastructure & Capabilities:
Languages & Logic: Python, SQL, basic Java, C#, HTML & CSS, AI.
Version Control & Deployment: Git, Agile (Kanban) methodologies.
System Architecture: OS systems setup, maintenance, and testing.
Cloud & APIs: Google Cloud Platform (GCP), REST API Integration
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