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I am an AI & Automation Engineer | Full Stack Developer with over 30 years of technology experience, specializing in building production-grade agentic systems, n8n workflows, and custom RAG architectures. I bridge the gap between complex software engineering, enterprise controls, and state-of-the-art Generative AI to replace manual business operations with reliable, high-ROI automations. Core Strengths & Skills: AI & Agentic Systems: Multi-agent frameworks, custom Model Context Protocol (MCP) servers, advanced prompt engineering, classification logic, and semantic RAG pipelines. Workflow Automation: Expert-level n8n workflows, Python scripts, OCR processing (EasyOCR), and third-party API integrations. Full-Stack Engineering: React, Next.js, FastAPI, PostgreSQL, AWS, and computer vision (YOLOv8, ResNet). Enterprise Governance: Background in IT Audit (CISA, CRISC), SOX compliance, and Lean project management. Key Accomplishments & Projects: Property Feasibility Analyzer: Reduced deal evaluation times by 75% for real estate clients by automating document parsing and data ingestion. ProofFidelity: Built an offline-first PWA utilizing computer vision for property damage detection and secure WORM PostgreSQL evidence storage. Customer Support Optimization: Fine-tuned LLM classification logic for customer support bots, cutting active support workloads by 40%. Enterprise Asset Tracking: Deployed an RFID asset tracking system across 10,000+ assets at Philip Morris, reducing inventory counting time by 70%. Education & Certifications: B.S. in Electronic and Telecommunication Engineering – Yıldız Teknik Üniversitesi CISA & CRISC – ISACA Certified Information Systems Auditor / Risk and Information Systems Control Let’s connect for a 15-minute call to discuss your workflows and design a scalable automation strategy.

I craft production-grade AI image pipelines for photoreal portraits, creative styles, and explainable imaging. My work combines Stable Diffusion SDXL, LoRA, ControlNet, IP-Adapter, and FaceSwap/InSwapper to deliver consistent identity, natural skin, and professional-quality outputs. Recent highlights include: Deploying AI generators on Replicate with dynamic LoRA loading, QA scoring, and Docker CI/CD. Delivering studio-quality headshots with ArcFace ID consistency and 4K tiled refinement. Creating anime/creative styles with LoRA + identity-preserving FaceSwap pipelines, optimized for e-commerce, HR, and content creators. Beyond AI, I bring an academic foundation as an Applied Mathematics MSc with a published paper (“Web Application for Step Size Strategies”) and an ICMME2021 conference presentation (COVID-19 analysis with LaTeX Beamer). This background allows me to also support clients with LaTeX-based technical documentation—ensuring accuracy in formulas, references, and structure. Tech stack: Stable Diffusion SDXL, LoRA, ControlNet, IP-Adapter, ArcFace, InsightFace, FaceSwap/InSwapper, Gradio, Replicate/Cog, Docker, Python, LaTeX/Overleaf, Git/GitHub. 🚀 Whether you need high-end AI image pipelines or polished LaTeX documentation, I deliver fast, reproducible, and research-level quality.

I take OpenClaw deployments from "stood up fast and left fragile" to production-grade infrastructure that survives real audits, real attack surface, and real business workflows. Recent engagements include a multi-agent OpenClaw commerce platform that lifted e-commerce revenue 34% in six months while serving 500K+ daily interactions at sub-200ms latency, and a self-hosted Mac Mini OpenClaw deployment for a regulated client that passed first-pass security review with zero rework. I work exclusively on self-hosted and VPS OpenClaw environments. No managed shortcuts, no vendor lock-in, no SaaS dependency. Every deployment I hand off is documented, audited, and fully owned by your team from day one. Most OpenClaw installs I inherit fail the same predictable way: API keys in plaintext, gateways exposed to the public internet, containers running as root, no skill auditing, no human-in-the-loop, and zero documentation when something breaks at 2 AM. I rebuild that foundation first, then layer integrations, automation, and compliance posture on top of infrastructure that actually holds up. If your OpenClaw is already running but feels held together with duct tape, I audit the existing config, reduce attack surface, fix drift, and document everything your team needs to own it. No rebuild required unless the foundation genuinely cannot be salvaged. Recent OpenClaw engagements include: • Architected a 12-agent OpenClaw commerce platform serving 500K+ daily interactions at sub-200ms latency, lifting revenue 34% and cutting cart abandonment 41% • Delivered OpenClaw on Mac Mini hardware for a regulated client with OS hardening, secrets rotation, and a full skill audit, passing first-pass security review with zero rework • Built repeatable OpenClaw deployment templates with documented upgrade paths, rollback procedures, and zero-downtime migrations across VPS, dedicated, and on-premise environments • Configured OpenClaw agent workspaces end-to-end: SOUL.md, job descriptions, skill assignments, approved-tools allowlists, and tightly scoped operating boundaries • Hardened OpenClaw infrastructure with non-root Docker containers, read-only workspaces, SSL, firewall rules, automated backups, and environment-specific tuning • Built OpenClaw secrets management for API keys, OAuth tokens, and environment variables with least-privilege access and documented rotation policies, never plaintext • Delivered OpenClaw security audits covering package-level risk review, permission lockdown, prompt injection and jailbreak testing, and gateway exposure analysis • Standardized OpenClaw production reliability with structured logging, health checks, lightweight alerting, and observability dashboards built for on-call engineers • Built an OpenClaw legal case management automation that cut manual workload 30% for a mid-sized law firm with every agent action audit-logged for compliance review • Deployed an OpenClaw customer support agent stack that resolved 78% of inquiries autonomously, reducing annual support costs by ~$180K • Implemented OpenClaw API integration layers connecting Claude, OpenAI, payment processors, shipping APIs, and CRM systems with OAuth and JWT authentication • Built OpenClaw skill auditing workflows with source-code review of every installed skill and human-in-the-loop confirmation on destructive actions I work best with teams running OpenClaw on their own infrastructure who want the foundation taken seriously, regulated-industry clients in legal, finance, and healthcare who need private AI agents with real data residency, and founders or IT leads who want OpenClaw automation that survives well past the demo. Typical engagements: OpenClaw production deployment (3 to 5 days standard), OpenClaw security audit and hardening, integration buildouts, and ongoing reliability retainers. My stack: OpenClaw, Anthropic Claude API, OpenAI API, Model Context Protocol (MCP), Python, Node.js, TypeScript, React, Next.js, Docker, Linux, PostgreSQL, MongoDB, AWS, Firebase, n8n, OAuth, JWT, REST APIs, and webhook orchestration. Native OpenClaw integrations across Gmail, Outlook, Office 365, Google Calendar, Slack, Microsoft Teams, Discord, Telegram, WhatsApp, Notion, HubSpot, Salesforce, Bitrix24, Google Drive, Dropbox, and any custom system reachable by API. Send a short note describing your current OpenClaw setup (or what you want to build), your hosting preference (VPS, dedicated, on-prem, or Mac Mini), any compliance constraints, and your deadline. I reply within the day with a concrete scope, timeline, and a short list of risks I see before we start. I work as a strategic OpenClaw partner on production AI infrastructure, not a ticket-taker.