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╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═══╝╚══════╝
I don't just build models — I ship them, monitor them, and make them generate revenue.
I'm an AI Engineer & MLOps Specialist operating at the intersection of AI automation, full-stack development, and DevOps.
My philosophy: Full Cycle Engineering — I build the app, deploy the infra, and monitor the model. No handoffs, no silos.
During the day I'm deep in pipelines and agents. At night I'm closing freelance deals and writing about it on LinkedIn.
Full production system built from scratch in 4 months alongside a partner, under a tech lead.
- 209 source files · 70 REST endpoints · 24 MySQL tables
- JWT/RBAC auth, Everflow API sync, fraud detection via n8n, Text-to-SQL AI agent (4 LLM providers), Smart Matching CRM
- Multi-agent infra: OpenClaw runtime middleware + agents XEN & HAWK via Slack/Telegram
Productized the Xentraffic fraud detection work into a standalone offering.
- n8n workflow integrating with the Everflow API
- 9 fraud detection rules, auto-suspension for high-risk events
- Telegram human-in-the-loop approval for medium-risk events
- Target market: CPA networks on Everflow (affLIFT, STM Forum, Offervault, LinkedIn)
End-to-end MLOps project analyzing professional VALORANT match data.
- K-Means clustering for team strategy profiling
- Llama 3.3 for natural language match analysis
- Full pipeline: Ingestion → Training → Deployment → Monitoring
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- Next.js 14 + n8n workflows
- Lead generation pipeline + LinkedIn content automation
- Phased delivery structure, production deployed
I post regularly on LinkedIn about AI engineering, freelancing, and building in public — case studies from real client work, MLOps learnings, and automation patterns.
I'm open to:
- 💼 Freelance projects: AI automation, n8n workflows, MLOps pipelines, full-stack AI apps
- 🤖 Consulting: Integrating LLMs and automation into your existing business
- 🚀 Full-time AI Engineer roles: MLOps, AI systems, automation at scale
"Ship fast. Monitor everything. Iterate."