Principal Technology Architect & Systems Builder
AI · Software Platforms · Cybersecurity · Games · Real-Time Systems · Automation · Performance Engineering
I design, build, investigate, stabilize, secure, and optimize technology systems across the complete delivery lifecycle. My work combines architecture with direct implementation: problem discovery, product definition, system design, coding, integration, testing, security hardening, deployment, incident recovery, performance tuning, release governance, and operational decision-making.
Based in Port Said, Egypt. Open to high-impact remote roles and international relocation.
I operate as an independent principal-level architect and hands-on systems builder rather than as a framework-specific developer or architecture-only advisor.
My strongest value is the ability to enter unfamiliar and complex environments, establish the real system boundaries, identify root causes across software and hardware layers, make explicit trade-offs, and deliver a maintainable solution with measurable operational evidence.
Problem discovery
→ Product and system definition
→ Architecture and threat modeling
→ Hands-on implementation
→ Integration and data validation
→ Testing and performance analysis
→ Security hardening
→ Deployment and release verification
→ Incident recovery and operational improvement
- Full-stack web platforms, REST APIs, browser applications, desktop utilities, Android applications, SQL-backed operational systems, reporting, export, background services, and deployment packaging
- Modular architecture, event-driven design, concurrent processing, canonical state, queues, lifecycle management, persistence boundaries, interface contracts, and validation rules
- Product workflows designed around actual operator behavior, failure recovery, maintainability, and low-friction daily use
- Local LLM deployment, model serving, quantized model formats, inference controls, context and memory constraints, GPU/VRAM budgeting, and performance-aware routing
- CUDA and PyTorch troubleshooting, adapter and fine-tuning workflows, model evaluation, model merging, repetition and truncation diagnosis, and runtime stability
- AI-agent systems with tools, memory, state, planning, permissions, guardrails, retries, approvals, observability, and recovery
- Streaming ingestion, event-driven state updates, real-time browser delivery, WebSocket/SSE interfaces, asynchronous persistence, incremental rendering, quality checks, and reconciliation
- Market and session analytics, trade and liquidity views, order-book concepts, participant-flow analysis, ranking, filtering, alerts, and explicit data-quality states
- Large-session validation across hundreds of instruments and hundreds of thousands of records while tracking invalid data, gaps, ordering, queue pressure, and parity
- Defensive application review, endpoint and API analysis, traffic inspection, HAR/proxy evidence, authentication and session analysis, configuration review, and trust-boundary assessment
- Threat modeling, security hardening, authenticated transports, request signing, replay resistance, secret boundaries, loopback isolation, Origin validation, secure sessions, rate limits, and audit logging
- Reverse engineering for debugging, interoperability, runtime understanding, and security investigation
- Game mechanics, movement, controls, collision and physics behavior, combat, progression, interface design, character and enemy systems, asset integration, and visual refinement
- Browser performance, compatibility, packaging, platform submission, quality review, commercial-readiness iteration, and post-submission improvement
- Image and video generation workflows, image-to-video, speech-to-video, Arabic voice production, dubbing, lip synchronization, subtitles, captions, and short-form content automation
- FFmpeg-based preparation and post-processing, batch execution, media validation, repeatable workflow design, and production troubleshooting
- High-performance Windows workstation diagnosis across GPU scheduling, VRAM use, model and runtime loading, CPU/GPU fallback, drivers, firmware, storage controllers, thermals, and power profiles
- Display and GPU switching, background-process analysis, runtime stability, storage behavior, sustained throughput, and software-hardware boundary failures
- Performance decisions based on real constraints rather than synthetic configuration alone
- Windows-native engineering, PowerShell automation, WSL and container-aware workflows, Docker, Git, GitHub Actions, CI/CD, automated tests, fixtures, and validation gates
- Structured logging, metrics, health and readiness checks, recovery, rollback, backup-first changes, reproducible evidence, runbooks, and release verification
- Explicit rejection of releases when artifact identity, security, data integrity, performance, or operational evidence is incomplete
- Product definition, feature prioritization, visual and operational usability, platform compliance, publishing workflows, pricing and capacity analysis, and build-versus-buy decisions
- Local-versus-cloud architecture, hosting economics, access control, user limits, security exposure, monetization constraints, and launch acceptance criteria
- Experience moving products from concept and prototype through testing, submission, refinement, launch preparation, and operational review
Languages and scripting: Go, Java, Python, JavaScript, TypeScript, Node.js, SQL, PowerShell, HTML, CSS, shell-based tooling, plus rapid adoption of engine-specific languages and frameworks when required
Architecture and data: REST, WebSocket, SSE, SQLite, relational modeling, event streams, concurrent pipelines, canonical state, lifecycle systems, browser runtimes, Android tooling, desktop integration
AI and media: Local LLM runtimes, Hugging Face ecosystem, GPU inference, quantized models, CUDA/PyTorch troubleshooting, LoRA-family workflows, model merging, FFmpeg, image/video/audio pipelines
Security and operations: Traffic and endpoint analysis, proxy/HAR workflows, threat modeling, hardening, authenticated transport, structured logging, monitoring, incident response, backup, rollback, release validation
Delivery platforms: Windows, WSL, Docker, Git, GitHub Actions, CI/CD, local infrastructure, cloud and VPS architecture evaluation
Preserve state before mutation
Separate diagnosis from repair
Keep critical paths non-blocking
Make failures visible and bounded
Secure trust boundaries explicitly
Measure performance at the real bottleneck
Validate with reproducible evidence
Reject releases when evidence is incomplete
Optimize for maintainability, not demonstrations
This profile intentionally describes capabilities, architecture patterns, and sanitized engineering evidence only.
Private source code, credentials, tokens, licensed integrations, proprietary algorithms, customer data, private prompts, machine-specific access details, and operational secrets are not published.